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Publication search results
found 41 matches
- 2023
- Yao Qin, Xuezhi Wang, Balaji Lakshminarayanan, Ed H. Chi, Alex Beutel:
What Are Effective Labels for Augmented Data? Improving Calibration and Robustness with AutoLabel. SaTML 2023: 365-376 - Sanghyun Hong, Nicholas Carlini, Alexey Kurakin:
Publishing Efficient On-device Models Increases Adversarial Vulnerability. SaTML 2023: 271-290 - Haoze Wu, Teruhiro Tagomori, Alexander Robey, Fengjun Yang, Nikolai Matni, George J. Pappas, Hamed Hassani, Corina S. Pasareanu, Clark W. Barrett:
Toward Certified Robustness Against Real-World Distribution Shifts. SaTML 2023: 537-553 - Gorka Abad, Servio Paguada, Oguzhan Ersoy, Stjepan Picek, Víctor Julio Ramírez-Durán, Aitor Urbieta:
Sniper Backdoor: Single Client Targeted Backdoor Attack in Federated Learning. SaTML 2023: 377-391 - Krishna Acharya, Eshwar Ram Arunachaleswaran, Sampath Kannan, Aaron Roth, Juba Ziani:
Wealth Dynamics Over Generations: Analysis and Interventions. SaTML 2023: 42-57 - Hojjat Aghakhani, Lea Schönherr, Thorsten Eisenhofer, Dorothea Kolossa, Thorsten Holz, Christopher Kruegel, Giovanni Vigna:
Venomave: Targeted Poisoning Against Speech Recognition. SaTML 2023: 404-417 - Patrick Altmeyer, Giovan Angela, Aleksander Buszydlik, Karol Dobiczek, Arie van Deursen, Cynthia C. S. Liem:
Endogenous Macrodynamics in Algorithmic Recourse. SaTML 2023: 418-431 - Giovanni Apruzzese, Hyrum S. Anderson, Savino Dambra, David Freeman, Fabio Pierazzi, Kevin A. Roundy:
"Real Attackers Don't Compute Gradients": Bridging the Gap Between Adversarial ML Research and Practice. SaTML 2023: 339-364 - Toluwani Aremu, Karthik Nandakumar:
PolyKervNets: Activation-free Neural Networks For Efficient Private Inference. SaTML 2023: 593-604 - Huzaifa Arif, Alex Gittens, Pin-Yu Chen:
Reprogrammable-FL: Improving Utility-Privacy Tradeoff in Federated Learning via Model Reprogramming. SaTML 2023: 197-209 - Katharina Beckh, Sebastian Müller, Matthias Jakobs, Vanessa Toborek, Hanxiao Tan, Raphael Fischer, Pascal Welke, Sebastian Houben, Laura von Rüden:
Harnessing Prior Knowledge for Explainable Machine Learning: An Overview. SaTML 2023: 450-463 - Stefano Calzavara, Lorenzo Cazzaro, Claudio Lucchese, Federico Marcuzzi:
Explainable Global Fairness Verification of Tree-Based Classifiers. SaTML 2023: 1-17 - Harsh Chaudhari, Matthew Jagielski, Alina Oprea:
SafeNet: The Unreasonable Effectiveness of Ensembles in Private Collaborative Learning. SaTML 2023: 176-196 - Amanda Coston, Anna Kawakami, Haiyi Zhu, Ken Holstein, Hoda Heidari:
A Validity Perspective on Evaluating the Justified Use of Data-driven Decision-making Algorithms. SaTML 2023: 690-704 - Rachel Cummings, Hadi Elzayn, Emmanouil Pountourakis, Vasilis Gkatzelis, Juba Ziani:
Optimal Data Acquisition with Privacy-Aware Agents. SaTML 2023: 210-224 - Teresa Datta, Daniel Nissani, Max Cembalest, Akash Khanna, Haley Massa, John Dickerson:
Tensions Between the Proxies of Human Values in AI. SaTML 2023: 678-689 - Edoardo Debenedetti, Vikash Sehwag, Prateek Mittal:
A Light Recipe to Train Robust Vision Transformers. SaTML 2023: 225-253 - Sayanton V. Dibbo, Dae Lim Chung, Shagufta Mehnaz:
Model Inversion Attack with Least Information and an In-depth Analysis of its Disparate Vulnerability. SaTML 2023: 119-135 - Julien Ferry, Ulrich Aïvodji, Sébastien Gambs, Marie-José Huguet, Mohamed Siala:
Exploiting Fairness to Enhance Sensitive Attributes Reconstruction. SaTML 2023: 18-41 - Washington Garcia, Pin-Yu Chen, Hamilton Scott Clouse, Somesh Jha, Kevin R. B. Butler:
Less is More: Dimension Reduction Finds On-Manifold Adversarial Examples in Hard-Label Attacks. SaTML 2023: 254-270 - Zayd Hammoudeh, Daniel Lowd:
Reducing Certified Regression to Certified Classification for General Poisoning Attacks. SaTML 2023: 484-523 - Valentin Hartmann, Léo Meynent, Maxime Peyrard, Dimitrios Dimitriadis, Shruti Tople, Robert West:
Distribution Inference Risks: Identifying and Mitigating Sources of Leakage. SaTML 2023: 136-149 - Guy Heller, Ethan Fetaya:
Can Stochastic Gradient Langevin Dynamics Provide Differential Privacy for Deep Learning? SaTML 2023: 68-106 - Florian Jaeckle, M. Pawan Kumar:
Neural Lower Bounds for Verification. SaTML 2023: 524-536 - Yujing Jiang, Xingjun Ma, Sarah Monazam Erfani, James Bailey:
Backdoor Attacks on Time Series: A Generative Approach. SaTML 2023: 392-403 - Mintong Kang, Linyi Li, Bo Li:
FaShapley: Fast and Approximated Shapley Based Model Pruning Towards Certifiably Robust DNNs. SaTML 2023: 575-592 - Ari Karchmer:
Theoretical Limits of Provable Security Against Model Extraction by Efficient Observational Defenses. SaTML 2023: 605-621 - Sanjay Kariyappa, Moinuddin K. Qureshi:
ExPLoit: Extracting Private Labels in Split Learning. SaTML 2023: 165-175 - Patrik Joslin Kenfack, Adín Ramírez Rivera, Adil Mehmood Khan, Manuel Mazzara:
Learning Fair Representations through Uniformly Distributed Sensitive Attributes. SaTML 2023: 58-67 - Minseon Kim, Jihoon Tack, Jinwoo Shin, Sung Ju Hwang:
Rethinking the Entropy of Instance in Adversarial Training. SaTML 2023: 316-326
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