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2020 – today
- 2023
[j10]Shihao Zou
, Xinxin Zuo, Sen Wang, Yiming Qian, Chuan Guo, Li Cheng:
Human Pose and Shape Estimation From Single Polarization Images. IEEE Trans. Multim. 25: 3560-3572 (2023)- [c36]Ruihan Wu, Jin Peng Zhou, Kilian Q. Weinberger, Chuan Guo:
Does Label Differential Privacy Prevent Label Inference Attacks? AISTATS 2023: 4336-4347 - [c35]Elvis Dohmatob, Chuan Guo, Morgane Goibert:
Origins of Low-Dimensional Adversarial Perturbations. AISTATS 2023: 9221-9237 - [c34]Chuan Guo, Kamalika Chaudhuri, Pierre Stock, Michael G. Rabbat:
Privacy-Aware Compression for Federated Learning Through Numerical Mechanism Design. ICML 2023: 11888-11904 - [c33]Chuan Guo, Alexandre Sablayrolles, Maziar Sanjabi:
Analyzing Privacy Leakage in Machine Learning via Multiple Hypothesis Testing: A Lesson From Fano. ICML 2023: 11998-12011 - [c32]Sanjay Kariyappa, Chuan Guo, Kiwan Maeng, Wenjie Xiong, G. Edward Suh, Moinuddin K. Qureshi, Hsien-Hsin S. Lee:
Cocktail Party Attack: Breaking Aggregation-Based Privacy in Federated Learning Using Independent Component Analysis. ICML 2023: 15884-15899 - [c31]Ruihan Wu, Xiangyu Chen, Chuan Guo, Kilian Q. Weinberger:
Learning To Invert: Simple Adaptive Attacks for Gradient Inversion in Federated Learning. UAI 2023: 2293-2303 - [c30]Yuqing Zhu, Xuandong Zhao, Chuan Guo, Yu-Xiang Wang:
Private Prediction Strikes Back! Private Kernelized Nearest Neighbors with Individual Rényi Filter. UAI 2023: 2586-2596 - [i46]Kehong Gong, Dongze Lian, Heng Chang, Chuan Guo, Xinxin Zuo, Zihang Jiang, Xinchao Wang:
TM2D: Bimodality Driven 3D Dance Generation via Music-Text Integration. CoRR abs/2304.02419 (2023) - [i45]Casey Meehan, Florian Bordes, Pascal Vincent, Kamalika Chaudhuri, Chuan Guo:
Do SSL Models Have Déjà Vu? A Case of Unintended Memorization in Self-supervised Learning. CoRR abs/2304.13850 (2023) - [i44]Kiwan Maeng, Chuan Guo, Sanjay Kariyappa, G. Edward Suh:
Bounding the Invertibility of Privacy-preserving Instance Encoding using Fisher Information. CoRR abs/2305.04146 (2023) - [i43]Trishita Tiwari, Suchin Gururangan, Chuan Guo, Weizhe Hua, Sanjay Kariyappa, Udit Gupta, Wenjie Xiong, Kiwan Maeng, Hsien-Hsin S. Lee, G. Edward Suh:
Information Flow Control in Machine Learning through Modular Model Architecture. CoRR abs/2306.03235 (2023) - [i42]Yuqing Zhu, Xuandong Zhao, Chuan Guo, Yu-Xiang Wang:
"Private Prediction Strikes Back!" Private Kernelized Nearest Neighbors with Individual Renyi Filter. CoRR abs/2306.07381 (2023) - [i41]Yaodong Yu, Maziar Sanjabi, Yi Ma, Kamalika Chaudhuri, Chuan Guo:
ViP: A Differentially Private Foundation Model for Computer Vision. CoRR abs/2306.08842 (2023) - [i40]Ruihan Wu, Chuan Guo, Kamalika Chaudhuri:
Large-Scale Public Data Improves Differentially Private Image Generation Quality. CoRR abs/2309.00008 (2023) - 2022
- [j9]Chuan Guo, Albert C. J. Luo:
Higher-Order Complex Periodic Motions in a Nonlinear, Electromagnetically Tuned Mass Damper System. Int. J. Bifurc. Chaos 32(11): 2250169:1-2250169:47 (2022) - [j8]Chuan Guo, Xinxin Zuo, Sen Wang, Xinshuang Liu, Shihao Zou, Minglun Gong, Li Cheng:
Action2video: Generating Videos of Human 3D Actions. Int. J. Comput. Vis. 130(2): 285-315 (2022) - [c29]Amrita Roy Chowdhury, Chuan Guo, Somesh Jha, Laurens van der Maaten:
EIFFeL: Ensuring Integrity for Federated Learning. CCS 2022: 2535-2549 - [c28]Chuan Guo, Shihao Zou, Xinxin Zuo, Sen Wang, Wei Ji, Xingyu Li, Li Cheng:
Generating Diverse and Natural 3D Human Motions from Text. CVPR 2022: 5142-5151 - [c27]Chuan Guo, Xinxin Zuo, Sen Wang, Li Cheng:
TM2T: Stochastic and Tokenized Modeling for the Reciprocal Generation of 3D Human Motions and Texts. ECCV (35) 2022: 580-597 - [c26]Wei Ji, Jingjing Li, Qi Bi, Chuan Guo, Jie Liu, Li Cheng:
Promoting Saliency From Depth: Deep Unsupervised RGB-D Saliency Detection. ICLR 2022 - [c25]Lauren Watson, Chuan Guo, Graham Cormode, Alexandre Sablayrolles:
On the Importance of Difficulty Calibration in Membership Inference Attacks. ICLR 2022 - [c24]Chuan Guo, Brian Karrer, Kamalika Chaudhuri, Laurens van der Maaten:
Bounding Training Data Reconstruction in Private (Deep) Learning. ICML 2022: 8056-8071 - [c23]Awni Y. Hannun, Chuan Guo, Laurens van der Maaten:
Measuring Data Leakage in Machine-Learning Models with Fisher Information (Extended Abstract). IJCAI 2022: 5284-5288 - [c22]Kamalika Chaudhuri, Chuan Guo, Mike Rabbat:
Privacy-aware compression for federated data analysis. UAI 2022: 296-306 - [i39]Antonio Ginart, Laurens van der Maaten, James Zou, Chuan Guo:
Submix: Practical Private Prediction for Large-Scale Language Models. CoRR abs/2201.00971 (2022) - [i38]Chuan Guo, Brian Karrer, Kamalika Chaudhuri, Laurens van der Maaten:
Bounding Training Data Reconstruction in Private (Deep) Learning. CoRR abs/2201.12383 (2022) - [i37]Ruihan Wu, Jin Peng Zhou, Kilian Q. Weinberger, Chuan Guo:
Does Label Differential Privacy Prevent Label Inference Attacks? CoRR abs/2202.12968 (2022) - [i36]Kamalika Chaudhuri, Chuan Guo, Mike Rabbat:
Privacy-Aware Compression for Federated Data Analysis. CoRR abs/2203.08134 (2022) - [i35]Elvis Dohmatob, Chuan Guo, Morgane Goibert:
Origins of Low-dimensional Adversarial Perturbations. CoRR abs/2203.13779 (2022) - [i34]Wei Ji, Jingjing Li, Qi Bi, Chuan Guo, Jie Liu, Li Cheng:
Promoting Saliency From Depth: Deep Unsupervised RGB-D Saliency Detection. CoRR abs/2205.07179 (2022) - [i33]Chuan Guo, Xinxin Xuo, Sen Wang, Li Cheng:
TM2T: Stochastic and Tokenized Modeling for the Reciprocal Generation of 3D Human Motions and Texts. CoRR abs/2207.01696 (2022) - [i32]Sanjay Kariyappa, Chuan Guo, Kiwan Maeng, Wenjie Xiong, G. Edward Suh, Moinuddin K. Qureshi, Hsien-Hsin S. Lee:
Cocktail Party Attack: Breaking Aggregation-Based Privacy in Federated Learning using Independent Component Analysis. CoRR abs/2209.05578 (2022) - [i31]Kiwan Maeng, Chuan Guo, Sanjay Kariyappa, G. Edward Suh:
Measuring and Controlling Split Layer Privacy Leakage Using Fisher Information. CoRR abs/2209.10119 (2022) - [i30]Ruihan Wu, Xiangyu Chen, Chuan Guo, Kilian Q. Weinberger:
Learning to Invert: Simple Adaptive Attacks for Gradient Inversion in Federated Learning. CoRR abs/2210.10880 (2022) - [i29]Chuan Guo, Alexandre Sablayrolles, Maziar Sanjabi:
Analyzing Privacy Leakage in Machine Learning via Multiple Hypothesis Testing: A Lesson From Fano. CoRR abs/2210.13662 (2022) - [i28]Chuan Guo, Kamalika Chaudhuri, Pierre Stock, Mike Rabbat:
The Interpolated MVU Mechanism For Communication-efficient Private Federated Learning. CoRR abs/2211.03942 (2022) - 2021
- [j7]Guohua Cheng, Xiaoming Wu, Wending Xiang, Chuan Guo, Hongli Ji, Linyang He:
Segmentation of the Airway Tree From Chest CT Using Tiny Atrous Convolutional Network. IEEE Access 9: 33583-33594 (2021) - [j6]Chuan Guo:
Research on Rapid Detection Electrochemical Sensor-Assisted Textile Art Design. J. Sensors 2021: 6573771:1-6573771:10 (2021) - [c21]Xinyue Miao, Chengqi Xue, Chuan Guo, Xiaozhou Zhou, Lichun Yang, Lesong Jia:
Method and Realization of Multiplayer Collaborative Control oriented to the Consultation Platform. EITCE 2021: 850-855 - [c20]Chuan Guo, Alexandre Sablayrolles, Hervé Jégou, Douwe Kiela:
Gradient-based Adversarial Attacks against Text Transformers. EMNLP (1) 2021: 5747-5757 - [c19]Shihao Zou, Chuan Guo, Xinxin Zuo, Sen Wang, Pengyu Wang, Xiaoqin Hu, Shoushun Chen, Minglun Gong, Li Cheng:
EventHPE: Event-based 3D Human Pose and Shape Estimation. ICCV 2021: 10976-10985 - [c18]Ruihan Wu, Chuan Guo, Felix Wu, Rahul Kidambi, Laurens van der Maaten, Kilian Q. Weinberger:
Making Paper Reviewing Robust to Bid Manipulation Attacks. ICML 2021: 11240-11250 - [c17]Kunkun Zhao, Chuan Guo, Haibo Bian, Jiyong Yu, Haiying Wen, Tong Wang, Zhisheng Zhang:
Upper Extremity Kinematic Parameters: Reference Ranges Based on Kinect V2. M2VIP 2021: 30-35 - [c16]Yiyou Sun, Chuan Guo, Yixuan Li:
ReAct: Out-of-distribution Detection With Rectified Activations. NeurIPS 2021: 144-157 - [c15]Ruihan Wu, Chuan Guo, Yi Su, Kilian Q. Weinberger:
Online Adaptation to Label Distribution Shift. NeurIPS 2021: 11340-11351 - [c14]Ruihan Wu, Chuan Guo, Awni Y. Hannun, Laurens van der Maaten:
Fixes That Fail: Self-Defeating Improvements in Machine-Learning Systems. NeurIPS 2021: 11745-11756 - [c13]Weizhe Hua, Yichi Zhang, Chuan Guo, Zhiru Zhang, G. Edward Suh:
BulletTrain: Accelerating Robust Neural Network Training via Boundary Example Mining. NeurIPS 2021: 18527-18538 - [c12]Awni Y. Hannun, Chuan Guo, Laurens van der Maaten:
Measuring data leakage in machine-learning models with Fisher information. UAI 2021: 760-770 - [i27]Ruihan Wu, Chuan Guo, Felix Wu, Rahul Kidambi, Laurens van der Maaten, Kilian Q. Weinberger:
Making Paper Reviewing Robust to Bid Manipulation Attacks. CoRR abs/2102.06020 (2021) - [i26]Awni Y. Hannun, Chuan Guo, Laurens van der Maaten:
Measuring Data Leakage in Machine-Learning Models with Fisher Information. CoRR abs/2102.11673 (2021) - [i25]Ruihan Wu, Chuan Guo, Awni Y. Hannun, Laurens van der Maaten:
Fixes That Fail: Self-Defeating Improvements in Machine-Learning Systems. CoRR abs/2103.11766 (2021) - [i24]Chuan Guo, Alexandre Sablayrolles, Hervé Jégou, Douwe Kiela:
Gradient-based Adversarial Attacks against Text Transformers. CoRR abs/2104.13733 (2021) - [i23]Hanieh Hashemi, Yongqin Wang, Chuan Guo, Murali Annavaram:
Byzantine-Robust and Privacy-Preserving Framework for FedML. CoRR abs/2105.02295 (2021) - [i22]Ruihan Wu, Chuan Guo, Yi Su, Kilian Q. Weinberger:
Online Adaptation to Label Distribution Shift. CoRR abs/2107.04520 (2021) - [i21]Shihao Zou, Chuan Guo, Xinxin Zuo, Sen Wang, Pengyu Wang, Xiaoqin Hu, Shoushun Chen, Minglun Gong, Li Cheng:
EventHPE: Event-based 3D Human Pose and Shape Estimation. CoRR abs/2108.06819 (2021) - [i20]Shihao Zou, Xinxin Zuo, Sen Wang, Yiming Qian, Chuan Guo, Wei Ji, Jingjing Li, Minglun Gong, Li Cheng:
Human Pose and Shape Estimation from Single Polarization Images. CoRR abs/2108.06834 (2021) - [i19]Weizhe Hua, Yichi Zhang, Chuan Guo, Zhiru Zhang, G. Edward Suh:
BulletTrain: Accelerating Robust Neural Network Training via Boundary Example Mining. CoRR abs/2109.14707 (2021) - [i18]Chuan Guo, Xinxin Zuo, Sen Wang, Xinshuang Liu, Shihao Zou, Minglun Gong, Li Cheng:
Action2video: Generating Videos of Human 3D Actions. CoRR abs/2111.06925 (2021) - [i17]Lauren Watson, Chuan Guo, Graham Cormode, Alexandre Sablayrolles:
On the Importance of Difficulty Calibration in Membership Inference Attacks. CoRR abs/2111.08440 (2021) - [i16]Yiyou Sun, Chuan Guo, Yixuan Li:
ReAct: Out-of-distribution Detection With Rectified Activations. CoRR abs/2111.12797 (2021) - [i15]Amrita Roy Chowdhury, Chuan Guo, Somesh Jha, Laurens van der Maaten:
EIFFeL: Ensuring Integrity for Federated Learning. CoRR abs/2112.12727 (2021) - 2020
- [b1]Chuan Guo:
Threats and Countermeasures in Machine Learning Applications. Cornell University, USA, 2020 - [c11]Kunkun Zhao, Zhisheng Zhang, Chuan Guo, Jiankang Wu:
A Preliminary Analysis of the Various Reaching Pattern Classifications. ICBBT 2020: 151-155 - [c10]Chuan Guo, Tom Goldstein, Awni Y. Hannun, Laurens van der Maaten:
Certified Data Removal from Machine Learning Models. ICML 2020: 3832-3842 - [c9]Chuan Guo, Xinxin Zuo, Sen Wang, Shihao Zou, Qingyao Sun, Annan Deng, Minglun Gong, Li Cheng:
Action2Motion: Conditioned Generation of 3D Human Motions. ACM Multimedia 2020: 2021-2029 - [i14]Chuan Guo, Awni Y. Hannun, Brian Knott, Laurens van der Maaten, Mark Tygert, Ruiyu Zhu:
Secure multiparty computations in floating-point arithmetic. CoRR abs/2001.03192 (2020) - [i13]Chuan Guo, Ruihan Wu, Kilian Q. Weinberger:
TrojanNet: Embedding Hidden Trojan Horse Models in Neural Networks. CoRR abs/2002.10078 (2020) - [i12]Chuan Guo, Xinxin Zuo, Sen Wang, Shihao Zou, Qingyao Sun, Annan Deng, Minglun Gong, Li Cheng:
Action2Motion: Conditioned Generation of 3D Human Motions. CoRR abs/2007.15240 (2020)
2010 – 2019
- 2019
- [c8]Chuan Guo, Jacob R. Gardner, Yurong You, Andrew Gordon Wilson, Kilian Q. Weinberger:
Simple Black-box Adversarial Attacks. ICML 2019: 2484-2493 - [c7]Shengyuan Hu, Tao Yu, Chuan Guo, Wei-Lun Chao, Kilian Q. Weinberger:
A New Defense Against Adversarial Images: Turning a Weakness into a Strength. NeurIPS 2019: 1633-1644 - [c6]Chuan Guo, Ali Mousavi, Xiang Wu, Daniel Niels Holtmann-Rice, Satyen Kale, Sashank J. Reddi, Sanjiv Kumar:
Breaking the Glass Ceiling for Embedding-Based Classifiers for Large Output Spaces. NeurIPS 2019: 4944-4954 - [c5]Chuan Guo, Jared S. Frank, Kilian Q. Weinberger:
Low Frequency Adversarial Perturbation. UAI 2019: 1127-1137 - [i11]Chuan Guo, Juan Cao, Xueyao Zhang, Kai Shu, Miao Yu:
Exploiting Emotions for Fake News Detection on Social Media. CoRR abs/1903.01728 (2019) - [i10]Chuan Guo, Jacob R. Gardner, Yurong You, Andrew Gordon Wilson, Kilian Q. Weinberger:
Simple Black-box Adversarial Attacks. CoRR abs/1905.07121 (2019) - [i9]Tao Yu, Shengyuan Hu, Chuan Guo, Wei-Lun Chao, Kilian Q. Weinberger:
A New Defense Against Adversarial Images: Turning a Weakness into a Strength. CoRR abs/1910.07629 (2019) - [i8]Chuan Guo, Tom Goldstein, Awni Y. Hannun, Laurens van der Maaten:
Certified Data Removal from Machine Learning Models. CoRR abs/1911.03030 (2019) - 2018
- [j5]Chuan Guo, Mike Newman:
On the b-chromatic number of cartesian products. Discret. Appl. Math. 239: 82-93 (2018) - [c4]Chuan Guo, Mayank Rana, Moustapha Cissé, Laurens van der Maaten:
Countering Adversarial Images using Input Transformations. ICLR (Poster) 2018 - [i7]Qiantong Xu, Gao Huang, Yang Yuan, Chuan Guo, Yu Sun, Felix Wu, Kilian Q. Weinberger:
An empirical study on evaluation metrics of generative adversarial networks. CoRR abs/1806.07755 (2018) - [i6]Chuan Guo, Jared S. Frank, Kilian Q. Weinberger:
Low Frequency Adversarial Perturbation. CoRR abs/1809.08758 (2018) - 2017
- [j4]Chuan Guo, Douglas R. Stinson:
A tight bound on the size of certain separating hash families. Australas. J Comb. 67: 294-303 (2017) - [c3]Jacob R. Gardner, Chuan Guo, Kilian Q. Weinberger, Roman Garnett, Roger B. Grosse:
Discovering and Exploiting Additive Structure for Bayesian Optimization. AISTATS 2017: 1311-1319 - [c2]Chuan Guo, Geoff Pleiss, Yu Sun, Kilian Q. Weinberger:
On Calibration of Modern Neural Networks. ICML 2017: 1321-1330 - [i5]Chuan Guo, Geoff Pleiss, Yu Sun, Kilian Q. Weinberger:
On Calibration of Modern Neural Networks. CoRR abs/1706.04599 (2017) - [i4]Chuan Guo, Mayank Rana, Moustapha Cissé, Laurens van der Maaten:
Countering Adversarial Images using Input Transformations. CoRR abs/1711.00117 (2017) - 2016
- [j3]Chuan Guo, Jeffrey O. Shallit, Arseny M. Shur:
Palindromic rich words and run-length encodings. Inf. Process. Lett. 116(12): 735-738 (2016) - [c1]Gao Huang, Chuan Guo, Matt J. Kusner, Yu Sun, Fei Sha, Kilian Q. Weinberger:
Supervised Word Mover's Distance. NIPS 2016: 4862-4870 - 2015
- [j2]Chuan Guo, Douglas R. Stinson, Tran van Trung:
On tight bounds for binary frameproof codes. Des. Codes Cryptogr. 77(2-3): 301-319 (2015) - [j1]Zetao Jiang, Chuan Guo, Yang Yang:
A Coarse-to-Fine Registration Method Based on Geometric Constraints and Parallel Architecture. J. Softw. 10(5): 551-565 (2015) - [i3]Chuan Guo, Jeffrey O. Shallit, Arseny M. Shur:
On the Combinatorics of Palindromes and Antipalindromes. CoRR abs/1503.09112 (2015) - [i2]Chuan Guo, Douglas R. Stinson:
A tight bound on the size of certain separating hash families. CoRR abs/1510.00293 (2015) - 2014
- [i1]Chuan Guo, Douglas R. Stinson, Tran van Trung:
On tight bounds for binary frameproof codes. CoRR abs/1406.6920 (2014)
Coauthor Index
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