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ORCIDFlávio P. Calmon
Flávio du Pin Calmon
Person information
- affiliation: Harvard University, John A. Paulson School of Engineering and Applied Sciences, Cambridge, MA, USA
- affiliation: IBM T. J. Watson Research Center, Yorktown, NY, USA
- affiliation: Massachusetts Institute of Technology (MIT), Electrical Engineering and Computer Science Department, Cambridge, MA, USA
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Books and Theses
- 2015
[b1]Flávio du Pin Calmon:
Information-theoretic metrics for security and privacy. Massachusetts Institute of Technology, Cambridge, MA, USA, 2015
Journal Articles
- 2024
- [j22]Wael Alghamdi
, Flávio P. Calmon:
Measuring Information From Moments. IEEE Trans. Inf. Theory 70(2): 763-802 (2024) - 2023
- [j21]Hao Wang, Rui Gao, Flávio P. Calmon:
Generalization Bounds for Noisy Iterative Algorithms Using Properties of Additive Noise Channels. J. Mach. Learn. Res. 24: 26:1-26:43 (2023) - [j20]Behrooz Razeghi, Flávio P. Calmon, Deniz Gündüz, Slava Voloshynovskiy:
Bottlenecks CLUB: Unifying Information-Theoretic Trade-Offs Among Complexity, Leakage, and Utility. IEEE Trans. Inf. Forensics Secur. 18: 2060-2075 (2023) - [j19]Francisco Raimundo Albuquerque Parente, Flávio du Pin Calmon, José Cândido Silveira Santos Filho:
Unified Framework for Diversity and Coding Gains Over a Broad Gaussian Class of Fading Channels. IEEE Trans. Veh. Technol. 72(12): 15916-15929 (2023) - 2022
- [j18]Hsiang Hsu, Salman Salamatian, Flávio P. Calmon:
Generalizing Correspondence Analysis for Applications in Machine Learning. IEEE Trans. Pattern Anal. Mach. Intell. 44(12): 9347-9362 (2022) - 2021
- [j17]Dennis Wei, Karthikeyan Natesan Ramamurthy, Flávio P. Calmon:
Optimized Score Transformation for Consistent Fair Classification. J. Mach. Learn. Res. 22: 258:1-258:78 (2021) - [j16]Shahab Asoodeh, Jiachun Liao, Flávio P. Calmon, Oliver Kosut, Lalitha Sankar:
Three Variants of Differential Privacy: Lossless Conversion and Applications. IEEE J. Sel. Areas Inf. Theory 2(1): 208-222 (2021) - [j15]Haewon Jeong, Ateet Devulapalli, Viveck R. Cadambe, Flávio P. Calmon:
ϵ-Approximate Coded Matrix Multiplication Is Nearly Twice as Efficient as Exact Multiplication. IEEE J. Sel. Areas Inf. Theory 2(3): 845-854 (2021) - [j14]Hao Wang, Hsiang Hsu, Mario Díaz, Flávio P. Calmon:
To Split or not to Split: The Impact of Disparate Treatment in Classification. IEEE Trans. Inf. Theory 67(10): 6733-6757 (2021) - 2020
- [j13]Shahab Asoodeh, Flávio P. Calmon:
Bottleneck Problems: An Information and Estimation-Theoretic View. Entropy 22(11): 1325 (2020) - [j12]Mario Díaz, Hao Wang, Flávio P. Calmon, Lalitha Sankar:
On the Robustness of Information-Theoretic Privacy Measures and Mechanisms. IEEE Trans. Inf. Theory 66(4): 1949-1978 (2020) - 2019
- [j11]Hao Wang, Lisa Vo, Flávio P. Calmon, Muriel Médard, Ken R. Duffy, Mayank Varia:
Privacy With Estimation Guarantees. IEEE Trans. Inf. Theory 65(12): 8025-8042 (2019) - [j10]Jiachun Liao, Oliver Kosut, Lalitha Sankar, Flávio du Pin Calmon:
Tunable Measures for Information Leakage and Applications to Privacy-Utility Tradeoffs. IEEE Trans. Inf. Theory 65(12): 8043-8066 (2019) - 2018
- [j9]Flávio du Pin Calmon, Dennis Wei, Bhanukiran Vinzamuri, Karthikeyan Natesan Ramamurthy, Kush R. Varshney:
Data Pre-Processing for Discrimination Prevention: Information-Theoretic Optimization and Analysis. IEEE J. Sel. Top. Signal Process. 12(5): 1106-1119 (2018) - [j8]Jiachun Liao, Lalitha Sankar, Vincent Y. F. Tan, Flávio du Pin Calmon:
Hypothesis Testing Under Mutual Information Privacy Constraints in the High Privacy Regime. IEEE Trans. Inf. Forensics Secur. 13(4): 1058-1071 (2018) - [j7]Flávio du Pin Calmon, Yury Polyanskiy, Yihong Wu:
Strong Data Processing Inequalities for Input Constrained Additive Noise Channels. IEEE Trans. Inf. Theory 64(3): 1879-1892 (2018) - 2017
- [j6]Flávio du Pin Calmon, Ali Makhdoumi, Muriel Médard, Mayank Varia, Mark M. Christiansen, Ken R. Duffy:
Principal Inertia Components and Applications. IEEE Trans. Inf. Theory 63(8): 5011-5038 (2017) - [j5]Flávio du Pin Calmon, Álvaro Augusto Machado de Medeiros, Michel Daoud Yacoub:
Mutual Outage Probability. IEEE Trans. Wirel. Commun. 16(5): 3138-3150 (2017) - 2015
- [j4]Salman Salamatian, Amy Zhang, Flávio du Pin Calmon, Sandilya Bhamidipati, Nadia Fawaz, Branislav Kveton, Pedro Oliveira, Nina Taft:
Managing Your Private and Public Data: Bringing Down Inference Attacks Against Your Privacy. IEEE J. Sel. Top. Signal Process. 9(7): 1240-1255 (2015) - [j3]Mark M. Christiansen, Ken R. Duffy, Flávio du Pin Calmon, Muriel Médard:
Multi-User Guesswork and Brute Force Security. IEEE Trans. Inf. Theory 61(12): 6876-6886 (2015) - 2012
- [j2]Arman Rezaee, Flávio du Pin Calmon, Linda M. Zeger, Muriel Médard:
Speeding Multicast by Acknowledgment Reduction Technique (SMART) Enabling Robustness of QoE to the Number of Users. IEEE J. Sel. Areas Commun. 30(7): 1270-1280 (2012) - 2009
- [j1]Flávio du Pin Calmon, Michel Daoud Yacoub:
MRCS -- selecting maximal ratio combined signals: a practical hybrid diversity combining scheme. IEEE Trans. Wirel. Commun. 8(7): 3425-3429 (2009)
Conference and Workshop Papers
- 2024
- [c67]Alex Oesterling, Jiaqi Ma, Flávio P. Calmon, Himabindu Lakkaraju:
Fair Machine Unlearning: Data Removal while Mitigating Disparities. AISTATS 2024: 3736-3744 - [c66]Juan Felipe Gómez, Caio Vieira Machado, Lucas Monteiro Paes, Flávio P. Calmon:
Algorithmic Arbitrariness in Content Moderation. FAccT 2024: 2234-2253 - 2023
- [c65]Bogdan Kulynych, Hsiang Hsu, Carmela Troncoso, Flávio P. Calmon:
Arbitrary Decisions Are a Hidden Cost of Differentially Private Training. EWAF 2023 - [c64]Bogdan Kulynych, Hsiang Hsu, Carmela Troncoso, Flávio P. Calmon:
Arbitrary Decisions are a Hidden Cost of Differentially Private Training. FAccT 2023: 1609-1623 - [c63]Wael Alghamdi, Juan Felipe Gómez, Shahab Asoodeh, Flávio P. Calmon, Oliver Kosut, Lalitha Sankar:
The Saddle-Point Method in Differential Privacy. ICML 2023: 508-528 - [c62]Haitong Ma, Tianpeng Zhang, Yixuan Wu, Flávio P. Calmon, Na Li:
Gaussian Max-Value Entropy Search for Multi-Agent Bayesian Optimization. IROS 2023: 10028-10035 - [c61]Lucas Monteiro Paes, Rodrigo Cruz, Flávio P. Calmon, Mario Díaz:
On the Inevitability of the Rashomon Effect. ISIT 2023: 549-554 - [c60]Wael Alghamdi, Shahab Asoodeh, Flávio P. Calmon, Juan Felipe Gómez, Oliver Kosut, Lalitha Sankar:
Optimal Multidimensional Differentially Private Mechanisms in the Large-Composition Regime. ISIT 2023: 2195-2200 - [c59]Wael Alghamdi, Shahab Asoodeh, Flávio P. Calmon, Juan Felipe Gómez, Oliver Kosut, Lalitha Sankar:
Schrödinger Mechanisms: Optimal Differential Privacy Mechanisms for Small Sensitivity. ISIT 2023: 2201-2206 - [c58]Viveck R. Cadambe, Haewon Jeong, Flávio P. Calmon:
Differentially Private Secure Multiplication: Hiding Information in the Rubble of Noise. ISIT 2023: 2207-2212 - [c57]Carol Xuan Long, Hsiang Hsu, Wael Alghamdi, Flávio P. Calmon:
Individual Arbitrariness and Group Fairness. NeurIPS 2023 - [c56]Hao Wang, Luxi He, Rui Gao, Flávio P. Calmon:
Aleatoric and Epistemic Discrimination: Fundamental Limits of Fairness Interventions. NeurIPS 2023 - 2022
- [c55]Haewon Jeong, Hao Wang, Flávio P. Calmon:
Fairness without Imputation: A Decision Tree Approach for Fair Prediction with Missing Values. AAAI 2022: 9558-9566 - [c54]Wael Alghamdi, Shahab Asoodeh, Flávio P. Calmon, Oliver Kosut, Lalitha Sankar, Fei Wei:
Cactus Mechanisms: Optimal Differential Privacy Mechanisms in the Large-Composition Regime. ISIT 2022: 1838-1843 - [c53]Ateet Devulapalli, Viveck R. Cadambe, Flávio P. Calmon, Haewon Jeong:
Differentially Private Distributed Matrix Multiplication: Fundamental Accuracy-Privacy Trade-Off Limits. ISIT 2022: 2016-2021 - [c52]Wael Alghamdi, Hsiang Hsu, Haewon Jeong, Hao Wang, Peter Michalák, Shahab Asoodeh, Flávio P. Calmon:
Beyond Adult and COMPAS: Fair Multi-Class Prediction via Information Projection. NeurIPS 2022 - [c51]Hsiang Hsu, Flávio P. Calmon:
Rashomon Capacity: A Metric for Predictive Multiplicity in Classification. NeurIPS 2022 - [c50]Lucas Monteiro Paes, Carol Xuan Long, Berk Ustun, Flávio P. Calmon:
On the Epistemic Limits of Personalized Prediction. NeurIPS 2022 - 2021
- [c49]Madeleine Barowsky, Alexander Mariona, Flávio P. Calmon:
Predictive Coding for Lossless Dataset Compression. ICASSP 2021: 1545-1549 - [c48]Behrooz Razeghi, Sohrab Ferdowsi, Dimche Kostadinov, Flávio P. Calmon, Slava Voloshynovskiy:
Privacy-Preserving near Neighbor Search via Sparse Coding with Ambiguation. ICASSP 2021: 2635-2639 - [c47]Sungmin Cha, Hsiang Hsu, Taebaek Hwang, Flávio P. Calmon, Taesup Moon:
CPR: Classifier-Projection Regularization for Continual Learning. ICLR 2021 - [c46]Shahab Asoodeh, Wei-Ning Chen, Flávio P. Calmon, Ayfer Özgür:
Differentially Private Federated Learning: An Information-Theoretic Perspective. ISIT 2021: 344-349 - [c45]Wael Alghamdi, Flávio P. Calmon:
Polynomial Approximations of Conditional Expectations in Scalar Gaussian Channels. ISIT 2021: 420-425 - [c44]Shahab Asoodeh, Maryam Aliakbarpour, Flávio P. Calmon:
Local Differential Privacy Is Equivalent to Contraction of an $f$-Divergence. ISIT 2021: 545-550 - [c43]Viveck R. Cadambe, Flávio P. Calmon, Ateet Devulapalli, Haewon Jeong:
E-Approximate Coded Matrix Multiplication is Nearly Twice as Efficient as Exact Multiplication. ISIT 2021: 1582-1587 - [c42]Hao Wang, Hsiang Hsu, Mario Díaz, Flávio P. Calmon:
The Impact of Split Classifiers on Group Fairness. ISIT 2021: 3179-3184 - [c41]Hao Wang, Yizhe Huang, Rui Gao, Flávio P. Calmon:
Analyzing the Generalization Capability of SGLD Using Properties of Gaussian Channels. NeurIPS 2021: 24222-24234 - 2020
- [c40]Hsiang Hsu, Shahab Asoodeh, Flávio P. Calmon:
Obfuscation via Information Density Estimation. AISTATS 2020: 906-917 - [c39]Dennis Wei, Karthikeyan Natesan Ramamurthy, Flávio P. Calmon:
Optimized Score Transformation for Fair Classification. AISTATS 2020: 1673-1683 - [c38]Jiachun Liao, Lalitha Sankar, Oliver Kosut, Flávio P. Calmon:
Maximal α-Leakage and its Properties. CNS 2020: 1-6 - [c37]Sohrab Ferdowsi, Behrooz Razeghi, Taras Holotyak, Flávio P. Calmon, Slava Voloshynovskiy:
Privacy-Preserving Image Sharing Via Sparsifying Layers on Convolutional Groups. ICASSP 2020: 2797-2801 - [c36]Francisco Raimundo Albuquerque Parente, Flávio du Pin Calmon, José Cândido Silveira Santos Filho:
High-SNR Performance in Gaussian-Class Fading. ICC 2020: 1-7 - [c35]Charles T. Marx, Flávio P. Calmon, Berk Ustun:
Predictive Multiplicity in Classification. ICML 2020: 6765-6774 - [c34]Shahab Asoodeh, Mario Díaz, Flávio P. Calmon:
Privacy Amplification of Iterative Algorithms via Contraction Coefficients. ISIT 2020: 896-901 - [c33]Shahab Asoodeh, Jiachun Liao, Flávio P. Calmon, Oliver Kosut, Lalitha Sankar:
A Better Bound Gives a Hundred Rounds: Enhanced Privacy Guarantees via f-Divergences. ISIT 2020: 920-925 - [c32]Wael Alghamdi, Shahab Asoodeh, Hao Wang, Flávio P. Calmon, Dennis Wei, Karthikeyan Natesan Ramamurthy:
Model Projection: Theory and Applications to Fair Machine Learning. ISIT 2020: 2711-2716 - [c31]Behrooz Razeghi, Flávio P. Calmon, Deniz Gündüz, Slava Voloshynovskiy:
On Perfect Obfuscation: Local Information Geometry Analysis. WIFS 2020: 1-6 - 2019
- [c30]Hsiang Hsu, Salman Salamatian, Flávio P. Calmon:
Correspondence Analysis Using Neural Networks. AISTATS 2019: 2671-2680 - [c29]Hao Wang, Berk Ustun, Flávio P. Calmon:
Repairing without Retraining: Avoiding Disparate Impact with Counterfactual Distributions. ICML 2019: 6618-6627 - [c28]Hsiang Hsu, Shahab Asoodeh, Flávio P. Calmon:
Information-Theoretic Privacy Watchdogs. ISIT 2019: 552-556 - [c27]Hao Wang, Mario Díaz, José Cândido Silveira Santos Filho, Flávio P. Calmon:
An Information-Theoretic View of Generalization via Wasserstein Distance. ISIT 2019: 577-581 - [c26]Jiachun Liao, Lalitha Sankar, Oliver Kosut, Flávio P. Calmon:
Robustness of Maximal α-Leakage to Side Information. ISIT 2019: 642-646 - [c25]Wael Alghamdi, Flávio P. Calmon:
Mutual Information as a Function of Moments. ISIT 2019: 3122-3126 - 2018
- [c24]Hao Wang, Berk Ustun, Flávio P. Calmon:
On the Direction of Discrimination: An Information-Theoretic Analysis of Disparate Impact in Machine Learning. ISIT 2018: 126-130 - [c23]Hsiang Hsu, Shahab Asoodeh, Salman Salamatian, Flávio P. Calmon:
Generalizing Bottleneck Problems. ISIT 2018: 531-535 - [c22]Jiachun Liao, Oliver Kosut, Lalitha Sankar, Flávio P. Calmon:
A Tunable Measure for Information Leakage. ISIT 2018: 701-705 - [c21]Hao Wang, Mario Díaz, Flávio P. Calmon, Lalitha Sankar:
The Utility Cost of Robust Privacy Guarantees. ISIT 2018: 706-710 - [c20]Jiachun Liao, Oliver Kosut, Lalitha Sankar, Flávio P. Calmon:
Privacy Under Hard Distortion Constraints. ITW 2018: 1-5 - 2017
- [c19]Hao Wang, Flávio P. Calmon:
An estimation-theoretic view of privacy. Allerton 2017: 886-893 - [c18]Jiachun Liao, Lalitha Sankar, Flávio P. Calmon, Vincent Y. F. Tan:
Hypothesis testing under maximal leakage privacy constraints. ISIT 2017: 779-783 - [c17]Flávio P. Calmon, Dennis Wei, Bhanukiran Vinzamuri, Karthikeyan Natesan Ramamurthy, Kush R. Varshney:
Optimized Pre-Processing for Discrimination Prevention. NIPS 2017: 3992-4001 - 2016
- [c16]Jiachun Liao, Lalitha Sankar, Vincent Y. F. Tan, Flávio P. Calmon:
Hypothesis testing in the high privacy limit. Allerton 2016: 649-656 - [c15]Matthew Riemer, Aditya Vempaty, Flávio P. Calmon, Fenno F. Terry Heath III, Richard Hull, Elham Khabiri:
Correcting Forecasts with Multifactor Neural Attention. ICML 2016: 3010-3019 - 2015
- [c14]Flávio P. Calmon, Ali Makhdoumi, Muriel Médard:
Fundamental limits of perfect privacy. ISIT 2015: 1796-1800 - [c13]Flávio P. Calmon, Yury Polyanskiy, Yihong Wu:
Strong data processing inequalities in power-constrained Gaussian channels. ISIT 2015: 2558-2562 - [c12]Ali Makhdoumi, Flávio P. Calmon, Muriel Médard:
Forgot your password: Correlation dilution. ISIT 2015: 2944-2948 - 2014
- [c11]Flávio P. Calmon, Mayank Varia, Muriel Médard:
On information-theoretic metrics for symmetric-key encryption and privacy. Allerton 2014: 889-894 - [c10]Flávio P. Calmon, Mayank Varia, Muriel Médard:
An exploration of the role of principal inertia components in information theory. ITW 2014: 252-256 - 2013
- [c9]Mark M. Christiansen, Ken R. Duffy, Flávio du Pin Calmon, Muriel Médard:
Guessing a password over a wireless channel (on the effect of noise non-uniformity). ACSSC 2013: 51-55 - [c8]Flávio P. Calmon, Mayank Varia, Muriel Médard, Mark M. Christiansen, Ken R. Duffy, Stefano Tessaro:
Bounds on inference. Allerton 2013: 567-574 - [c7]Salman Salamatian, Amy Zhang, Flávio du Pin Calmon, Sandilya Bhamidipati, Nadia Fawaz, Branislav Kveton, Pedro Oliveira, Nina Taft:
How to hide the elephant- or the donkey- in the room: Practical privacy against statistical inference for large data. GlobalSIP 2013: 269-272 - [c6]Mark M. Christiansen, Ken R. Duffy, Flávio du Pin Calmon, Muriel Médard:
Brute force searching, the typical set and Guesswork. ISIT 2013: 1257-1261 - [c5]Jason Cloud, Flávio du Pin Calmon, Weifei Zeng, Giovanni Pau, Linda M. Zeger, Muriel Médard:
Multi-Path TCP with Network Coding for Mobile Devices in Heterogeneous Networks. VTC Fall 2013: 1-5 - 2012
- [c4]Flávio du Pin Calmon, Muriel Médard, Linda M. Zeger, João Barros, Mark M. Christiansen, Ken R. Duffy:
Lists that are smaller than their parts: A coding approach to tunable secrecy. Allerton Conference 2012: 1387-1394 - [c3]Flávio du Pin Calmon, Nadia Fawaz:
Privacy against statistical inference. Allerton Conference 2012: 1401-1408 - 2011
- [c2]Flávio du Pin Calmon, Muriel Médard, Michelle Effros:
Equivalent models for multi-terminal channels. ITW 2011: 370-374 - 2008
- [c1]Flávio du Pin Calmon, Michel Daoud Yacoub:
A General Exact Formulation for the Outage Probability in Interference-Limited Systems. GLOBECOM 2008: 4303-4307
Informal and Other Publications
- 2024
- [i70]Jamelle Watson-Daniels, Flávio du Pin Calmon, Alexander D'Amour, Carol Xuan Long, David C. Parkes, Berk Ustun:
Predictive Churn with the Set of Good Models. CoRR abs/2402.07745 (2024) - [i69]Usha Bhalla, Alex Oesterling, Suraj Srinivas, Flávio P. Calmon, Himabindu Lakkaraju:
Interpreting CLIP with Sparse Linear Concept Embeddings (SpLiCE). CoRR abs/2402.10376 (2024) - [i68]Juan Felipe Gómez, Caio Vieira Machado, Lucas Monteiro Paes, Flávio P. Calmon:
Algorithmic Arbitrariness in Content Moderation. CoRR abs/2402.16979 (2024) - [i67]Lucas Monteiro Paes, Dennis Wei, Flávio P. Calmon:
Selective Explanations. CoRR abs/2405.19562 (2024) - [i66]Bogdan Kulynych, Juan Felipe Gómez, Georgios Kaissis, Flávio du Pin Calmon, Carmela Troncoso:
Attack-Aware Noise Calibration for Differential Privacy. CoRR abs/2407.02191 (2024) - [i65]Sajani Vithana, Viveck R. Cadambe, Flávio P. Calmon, Haewon Jeong:
Correlated Privacy Mechanisms for Differentially Private Distributed Mean Estimation. CoRR abs/2407.03289 (2024) - [i64]Alex Oesterling, Claudio Mayrink Verdun, Carol Xuan Long, Alex Glynn, Lucas Monteiro Paes, Sajani Vithana, Martina Cardone, Flávio P. Calmon:
Multi-Group Proportional Representation. CoRR abs/2407.08571 (2024) - 2023
- [i63]Hao Wang, Luxi He, Rui Gao, Flávio P. Calmon:
Aleatoric and Epistemic Discrimination in Classification. CoRR abs/2301.11781 (2023) - [i62]Bogdan Kulynych, Hsiang Hsu, Carmela Troncoso, Flávio P. Calmon:
Arbitrary Decisions are a Hidden Cost of Differentially-Private Training. CoRR abs/2302.14517 (2023) - [i61]Haitong Ma, Tianpeng Zhang, Yixuan Wu, Flávio P. Calmon, Na Li:
Gaussian Max-Value Entropy Search for Multi-Agent Bayesian Optimization. CoRR abs/2303.05694 (2023) - [i60]Raymond Feng, Flávio P. Calmon, Hao Wang:
Adapting Fairness Interventions to Missing Values. CoRR abs/2305.19429 (2023) - [i59]Carol Xuan Long, Hsiang Hsu, Wael Alghamdi, Flávio P. Calmon:
Arbitrariness Lies Beyond the Fairness-Accuracy Frontier. CoRR abs/2306.09425 (2023) - [i58]Alex Oesterling, Jiaqi Ma, Flávio P. Calmon, Hima Lakkaraju:
Fair Machine Unlearning: Data Removal while Mitigating Disparities. CoRR abs/2307.14754 (2023) - [i57]Viveck R. Cadambe, Ateet Devulapalli, Haewon Jeong, Flávio P. Calmon:
Differentially Private Secure Multiplication: Hiding Information in the Rubble of Noise. CoRR abs/2309.16105 (2023) - [i56]Lucas Monteiro Paes, Ananda Theertha Suresh, Alex Beutel, Flávio P. Calmon, Ahmad Beirami:
Multi-Group Fairness Evaluation via Conditional Value-at-Risk Testing. CoRR abs/2312.03867 (2023) - 2022
- [i55]Hsiang Hsu, Flávio du Pin Calmon:
Rashomon Capacity: A Metric for Predictive Multiplicity in Probabilistic Classification. CoRR abs/2206.01295 (2022) - [i54]Wael Alghamdi, Hsiang Hsu, Haewon Jeong, Hao Wang, P. Winston Michalak, Shahab Asoodeh, Flávio P. Calmon:
Beyond Adult and COMPAS: Fairness in Multi-Class Prediction. CoRR abs/2206.07801 (2022) - [i53]Wael Alghamdi, Shahab Asoodeh, Flávio P. Calmon, Oliver Kosut, Lalitha Sankar, Fei Wei:
Cactus Mechanisms: Optimal Differential Privacy Mechanisms in the Large-Composition Regime. CoRR abs/2207.00420 (2022) - [i52]Behrooz Razeghi, Flávio P. Calmon, Deniz Gündüz, Slava Voloshynovskiy:
Bottlenecks CLUB: Unifying Information-Theoretic Trade-offs Among Complexity, Leakage, and Utility. CoRR abs/2207.04895 (2022) - [i51]Wael Alghamdi, Shahab Asoodeh, Flávio P. Calmon, Juan Felipe Gómez, Oliver Kosut, Lalitha Sankar, Fei Wei:
The Saddle-Point Accountant for Differential Privacy. CoRR abs/2208.09595 (2022) - [i50]Marguerite B. Basta, Sarfaraz Hussein, Hsiang Hsu, Flávio P. Calmon:
Automated Segmentation and Recurrence Risk Prediction of Surgically Resected Lung Tumors with Adaptive Convolutional Neural Networks. CoRR abs/2209.08423 (2022) - 2021
- [i49]Shahab Asoodeh, Maryam Aliakbarpour, Flávio P. Calmon:
Local Differential Privacy Is Equivalent to Contraction of Eγ-Divergence. CoRR abs/2102.01258 (2021) - [i48]Hao Wang, Yizhe Huang, Rui Gao, Flávio P. Calmon:
Learning While Dissipating Information: Understanding the Generalization Capability of SGLD. CoRR abs/2102.02976 (2021) - [i47]Behrooz Razeghi, Sohrab Ferdowsi, Dimche Kostadinov, Flávio P. Calmon, Slava Voloshynovskiy:
Privacy-Preserving Near Neighbor Search via Sparse Coding with Ambiguation. CoRR abs/2102.04274 (2021) - [i46]Wael Alghamdi, Flávio P. Calmon:
Polynomial Approximations of Conditional Expectations in Scalar Gaussian Channels. CoRR abs/2102.05970 (2021) - [i45]Haewon Jeong, Ateet Devulapalli, Viveck R. Cadambe, Flávio P. Calmon:
ε-Approximate Coded Matrix Multiplication is Nearly Twice as Efficient as Exact Multiplication. CoRR abs/2105.01973 (2021) - [i44]Wael Alghamdi, Flávio P. Calmon:
Measuring Information from Moments. CoRR abs/2109.00649 (2021) - [i43]Haewon Jeong, Hao Wang, Flávio P. Calmon:
Fairness without Imputation: A Decision Tree Approach for Fair Prediction with Missing Values. CoRR abs/2109.10431 (2021) - 2020
- [i42]Shahab Asoodeh, Jiachun Liao, Flávio P. Calmon, Oliver Kosut, Lalitha Sankar:
A Better Bound Gives a Hundred Rounds: Enhanced Privacy Guarantees via $f$-Divergences. CoRR abs/2001.05990 (2020) - [i41]Shahab Asoodeh, Mario Díaz, Flávio P. Calmon:
Privacy Amplification of Iterative Algorithms via Contraction Coefficients. CoRR abs/2001.06546 (2020) - [i40]Sohrab Ferdowsi, Behrooz Razeghi, Taras Holotyak, Flávio P. Calmon, Slava Voloshynovskiy:
Privacy-Preserving Image Sharing via Sparsifying Layers on Convolutional Groups. CoRR abs/2002.01469 (2020) - [i39]Hao Wang, Hsiang Hsu, Mario Díaz, Flávio P. Calmon:
To Split or Not to Split: The Impact of Disparate Treatment in Classification. CoRR abs/2002.04788 (2020) - [i38]Sungmin Cha, Hsiang Hsu, Flávio P. Calmon, Taesup Moon:
CPR: Classifier-Projection Regularization for Continual Learning. CoRR abs/2006.07326 (2020) - [i37]Parastoo Sadeghi, Shahab Asoodeh, Flávio du Pin Calmon:
Differentially Private Mechanisms for Count Queries. CoRR abs/2007.09374 (2020) - [i36]Shahab Asoodeh, Jiachun Liao, Flávio P. Calmon, Oliver Kosut, Lalitha Sankar:
Three Variants of Differential Privacy: Lossless Conversion and Applications. CoRR abs/2008.06529 (2020) - [i35]Behrooz Razeghi, Flávio P. Calmon, Deniz Gündüz, Slava Voloshynovskiy:
On Perfect Obfuscation: Local Information Geometry Analysis. CoRR abs/2009.04157 (2020) - [i34]Shahab Asoodeh, Flávio P. Calmon:
Bottleneck Problems: Information and Estimation-Theoretic View. CoRR abs/2011.06208 (2020) - [i33]Shahab Asoodeh, Mario Díaz, Flávio P. Calmon:
Privacy Analysis of Online Learning Algorithms via Contraction Coefficients. CoRR abs/2012.11035 (2020) - 2019
- [i32]Jiachun Liao, Lalitha Sankar, Oliver Kosut, Flávio P. Calmon:
Robustness of Maximal α-Leakage to Side Information. CoRR abs/1901.07105 (2019) - [i31]Hao Wang, Berk Ustun, Flávio P. Calmon:
Repairing without Retraining: Avoiding Disparate Impact with Counterfactual Distributions. CoRR abs/1901.10501 (2019) - [i30]Hsiang Hsu, Salman Salamatian, Flávio P. Calmon:
Correspondence Analysis Using Neural Networks. CoRR abs/1902.07828 (2019) - [i29]Dennis Wei, Karthikeyan Natesan Ramamurthy, Flávio du Pin Calmon:
Optimized Score Transformation for Fair Classification. CoRR abs/1906.00066 (2019) - [i28]Charles T. Marx, Flávio du Pin Calmon, Berk Ustun:
Predictive Multiplicity in Classification. CoRR abs/1909.06677 (2019) - [i27]Hsiang Hsu, Shahab Asoodeh, Flávio du Pin Calmon:
Obfuscation via Information Density Estimation. CoRR abs/1910.08109 (2019) - 2018
- [i26]Hao Wang, Berk Ustun, Flávio P. Calmon:
On the Direction of Discrimination: An Information-Theoretic Analysis of Disparate Impact in Machine Learning. CoRR abs/1801.05398 (2018) - [i25]Hao Wang, Mario Díaz, Flávio P. Calmon, Lalitha Sankar:
The Utility Cost of Robust Privacy Guarantees. CoRR abs/1801.05926 (2018) - [i24]Hsiang Hsu, Shahab Asoodeh, Salman Salamatian, Flávio P. Calmon:
Generalizing Bottleneck Problems. CoRR abs/1802.05861 (2018) - [i23]Jiachun Liao, Oliver Kosut, Lalitha Sankar, Flávio P. Calmon:
Privacy Under Hard Distortion Constraints. CoRR abs/1806.00063 (2018) - [i22]Jiachun Liao, Oliver Kosut, Lalitha Sankar, Flávio P. Calmon:
A Tunable Measure for Information Leakage. CoRR abs/1806.03332 (2018) - [i21]Hsiang Hsu, Salman Salamatian, Flávio P. Calmon:
Deep Orthogonal Representations: Fundamental Properties and Applications. CoRR abs/1806.08449 (2018) - [i20]Jiachun Liao, Oliver Kosut, Lalitha Sankar, Flávio du Pin Calmon:
Tunable Measures for Information Leakage and Applications to Privacy-Utility Tradeoffs. CoRR abs/1809.09231 (2018) - [i19]Mario Díaz, Hao Wang, Flávio P. Calmon, Lalitha Sankar:
On the Robustness of Information-Theoretic Privacy Measures and Mechanisms. CoRR abs/1811.06057 (2018) - [i18]Hsiang Hsu, Flávio P. Calmon, José Cândido Silveira Santos Filho, Andre P. Calmon, Salman Salamatian:
Correspondence Analysis of Government Expenditure Patterns. CoRR abs/1812.01105 (2018) - 2017
- [i17]Jiachun Liao, Lalitha Sankar, Flávio du Pin Calmon, Vincent Yan Fu Tan:
Hypothesis Testing under Maximal Leakage Privacy Constraints. CoRR abs/1701.07099 (2017) - [i16]Flávio du Pin Calmon, Ali Makhdoumi, Muriel Médard, Mayank Varia, Mark M. Christiansen, Ken R. Duffy:
Principal Inertia Components and Applications. CoRR abs/1704.00820 (2017) - [i15]Flávio du Pin Calmon, Dennis Wei, Karthikeyan Natesan Ramamurthy, Kush R. Varshney:
Optimized Data Pre-Processing for Discrimination Prevention. CoRR abs/1704.03354 (2017) - [i14]Jiachun Liao, Lalitha Sankar, Vincent Y. F. Tan, Flávio du Pin Calmon:
Hypothesis Testing under Mutual Information Privacy Constraints in the High Privacy Regime. CoRR abs/1704.08347 (2017) - [i13]Hao Wang, Flávio du Pin Calmon:
An Estimation-Theoretic View of Privacy. CoRR abs/1710.00447 (2017) - 2016
- [i12]Jiachun Liao, Lalitha Sankar, Vincent Y. F. Tan, Flávio P. Calmon:
Hypothesis Testing in the High Privacy Limit. CoRR abs/1607.00533 (2016) - 2015
- [i11]Flávio du Pin Calmon, Muriel Médard, Mayank Varia, Ken R. Duffy, Mark M. Christiansen, Linda M. Zeger:
Hiding Symbols and Functions: New Metrics and Constructions for Information-Theoretic Security. CoRR abs/1503.08513 (2015) - [i10]Flávio P. Calmon, Yury Polyanskiy, Yihong Wu:
Strong Data Processing Inequalities for Input Constrained Additive Noise Channels. CoRR abs/1512.06429 (2015) - 2014
- [i9]Flávio du Pin Calmon, Mayank Varia, Muriel Médard:
An Exploration of the Role of Principal Inertia Components in Information Theory. CoRR abs/1405.1472 (2014) - [i8]Mark M. Christiansen, Ken R. Duffy, Flávio du Pin Calmon, Muriel Médard:
Quantifying the computational security of multi-user systems. CoRR abs/1405.5024 (2014) - [i7]Salman Salamatian, Amy Zhang, Flávio du Pin Calmon, Sandilya Bhamidipati, Nadia Fawaz, Branislav Kveton, Pedro Oliveira, Nina Taft:
Managing your Private and Public Data: Bringing down Inference Attacks against your Privacy. CoRR abs/1408.3698 (2014) - 2013
- [i6]Mark M. Christiansen, Ken R. Duffy, Flávio du Pin Calmon, Muriel Médard:
Brute force searching, the typical set and Guesswork. CoRR abs/1301.6356 (2013) - [i5]Jason Cloud, Flávio du Pin Calmon, Weifei Zeng, Giovanni Pau, Linda Zeger, Muriel Médard:
Multi-Path TCP with Network Coding for Mobile Devices in Heterogeneous Networks. CoRR abs/1306.2249 (2013) - [i4]Flávio du Pin Calmon, Mayank Varia, Muriel Médard, Mark M. Christiansen, Ken R. Duffy, Stefano Tessaro:
Bounds on inference. CoRR abs/1310.1512 (2013) - [i3]Mark M. Christiansen, Ken R. Duffy, Flávio du Pin Calmon, Muriel Médard:
Guessing a password over a wireless channel (on the effect of noise non-uniformity). CoRR abs/1311.1053 (2013) - 2012
- [i2]Flávio du Pin Calmon, Nadia Fawaz:
Privacy Against Statistical Inference. CoRR abs/1210.2123 (2012) - [i1]Flávio du Pin Calmon, Muriel Médard, Linda M. Zeger, João Barros, Mark M. Christiansen, Ken R. Duffy:
Lists that are smaller than their parts: A coding approach to tunable secrecy. CoRR abs/1210.2126 (2012)
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