Hongyang Zhang

According to our database, Hongyang Zhang authored at least 66 papers between 2013 and 2024.

Collaborative distances:

• Dijkstra number of three.
• Erdős number of three.

2024

Self-Adaptive Training: Bridging Supervised and Self-Supervised Learning.

Lang Huang, Chao Zhang, Hongyang Zhang

IEEE Trans. Pattern Anal. Mach. Intell., March, 2024

Distortion-free Watermarks are not Truly Distortion-free under Watermark Key Collisions.

Yihan Wu, Ruibo Chen, Zhengmian Hu, Yanshuo Chen, Junfeng Guo, Hongyang Zhang, Heng Huang

CoRR, 2024

Direct-Effect Risk Minimization for Domain Generalization.

Yuhui Li, Zejia Wu, Chao Zhang, Hongyang Zhang

Proceedings of the Machine Learning and Knowledge Discovery in Databases. Research Track, 2024

A Resilient and Accessible Distribution-Preserving Watermark for Large Language Models.

Yihan Wu, Zhengmian Hu, Junfeng Guo, Hongyang Zhang, Heng Huang

Proceedings of the Forty-first International Conference on Machine Learning, 2024

EAGLE: Speculative Sampling Requires Rethinking Feature Uncertainty.

Yuhui Li, Fangyun Wei, Chao Zhang, Hongyang Zhang

Proceedings of the Forty-first International Conference on Machine Learning, 2024

AnyTool: Self-Reflective, Hierarchical Agents for Large-Scale API Calls.

Yu Du, Fangyun Wei, Hongyang Zhang

Proceedings of the Forty-first International Conference on Machine Learning, 2024

RAIN: Your Language Models Can Align Themselves without Finetuning.

Yuhui Li, Fangyun Wei, Jinjing Zhao, Chao Zhang, Hongyang Zhang

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Unbiased Watermark for Large Language Models.

Zhengmian Hu, Lichang Chen, Xidong Wu, Yihan Wu, Hongyang Zhang, Heng Huang

Proceedings of the Twelfth International Conference on Learning Representations, 2024

EAGLE-2: Faster Inference of Language Models with Dynamic Draft Trees.

Yuhui Li, Fangyun Wei, Chao Zhang, Hongyang Zhang

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

zkLLM: Zero Knowledge Proofs for Large Language Models.

Haochen Sun, Jason Li, Hongyang Zhang

Proceedings of the 2024 on ACM SIGSAC Conference on Computer and Communications Security, 2024

Lost Domain Generalization Is a Natural Consequence of Lack of Training Domains.

Yimu Wang, Yihan Wu, Hongyang Zhang

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Recovery From Non-Decomposable Distance Oracles.

Zhuangfei Hu, Xinda Li, David P. Woodruff, Hongyang Zhang, Shufan Zhang

IEEE Trans. Inf. Theory, October, 2023

An Analysis of Robustness of Non-Lipschitz Networks.

Maria-Florina Balcan, Avrim Blum, Dravyansh Sharma, Hongyang Zhang

J. Mach. Learn. Res., 2023

zkDL: Efficient Zero-Knowledge Proofs of Deep Learning Training.

Haochen Sun, Hongyang Zhang

IACR Cryptol. ePrint Arch., 2023

DiPmark: A Stealthy, Efficient and Resilient Watermark for Large Language Models.

Yihan Wu, Zhengmian Hu, Hongyang Zhang, Heng Huang

CoRR, 2023

Investigating the Existence of "Secret Language" in Language Models.

Yimu Wang, Peng Shi, Hongyang Zhang

CoRR, 2023

Towards Transferable Unrestricted Adversarial Examples with Minimum Changes.

Fangcheng Liu, Chao Zhang, Hongyang Zhang

Proceedings of the 2023 IEEE Conference on Secure and Trustworthy Machine Learning, 2023

A Law of Robustness beyond Isoperimetry.

Yihan Wu, Heng Huang, Hongyang Zhang

Proceedings of the International Conference on Machine Learning, 2023

Understanding the Impact of Adversarial Robustness on Accuracy Disparity.

Yuzheng Hu, Fan Wu, Hongyang Zhang, Han Zhao

Proceedings of the International Conference on Machine Learning, 2023

Causal Balancing for Domain Generalization.

Xinyi Wang, Michael Saxon, Jiachen Li, Hongyang Zhang, Kun Zhang, William Yang Wang

Proceedings of the Eleventh International Conference on Learning Representations, 2023

Cooperation or Competition: Avoiding Player Domination for Multi-Target Robustness via Adaptive Budgets.

Yimu Wang, Dinghuai Zhang, Yihan Wu, Heng Huang, Hongyang Zhang

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Nash Equilibria and Pitfalls of Adversarial Training in Adversarial Robustness Games.

Maria-Florina Balcan, Rattana Pukdee, Pradeep Ravikumar, Hongyang Zhang

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2023

2022

Towards Robust Dataset Learning.

Yihan Wu, Xinda Li, Florian Kerschbaum, Heng Huang, Hongyang Zhang

CoRR, 2022

A Closer Look at Robustness to L-infinity and Spatial Perturbations and their Composition.

Luke Rowe, Benjamin Thérien, Krzysztof Czarnecki, Hongyang Zhang

CoRR, 2022

How Many Data Are Needed for Robust Learning?

Hongyang Zhang, Yihan Wu, Heng Huang

CoRR, 2022

Boosting Barely Robust Learners: A New Perspective on Adversarial Robustness.

Avrim Blum, Omar Montasser, Greg Shakhnarovich, Hongyang Zhang

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Building Robust Ensembles via Margin Boosting.

Dinghuai Zhang, Hongyang Zhang, Aaron C. Courville, Yoshua Bengio, Pradeep Ravikumar, Arun Sai Suggala

Proceedings of the International Conference on Machine Learning, 2022

RetrievalGuard: Provably Robust 1-Nearest Neighbor Image Retrieval.

Yihan Wu, Hongyang Zhang, Heng Huang

Proceedings of the International Conference on Machine Learning, 2022

Certified Error Control of Candidate Set Pruning for Two-Stage Relevance Ranking.

Minghan Li, Xinyu Zhang, Ji Xin, Hongyang Zhang, Jimmy Lin

Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

2021

Unrestricted Adversarial Attacks on ImageNet Competition.

Yuefeng Chen, Xiaofeng Mao, Yuan He, Hui Xue, Chao Li, Yinpeng Dong, Qi-An Fu, Xiao Yang, Wenzhao Xiang, Tianyu Pang, Hang Su, Jun Zhu, Fangcheng Liu, Chao Zhang, Hongyang Zhang, Yichi Zhang, Shilong Liu, Chang Liu, Wenzhao Xiang, Yajie Wang, Huipeng Zhou, Haoran Lyu, Yidan Xu, Zixuan Xu, Taoyu Zhu, Wenjun Li, Xianfeng Gao, Guoqiu Wang, Huanqian Yan, Ying Guo, Chaoning Zhang, Zheng Fang, Yang Wang, Bingyang Fu, Yunfei Zheng, Yekui Wang, Haorong Luo, Zhen Yang

CoRR, 2021

Adversarial Robustness of Stabilized Neural ODE Might be from Obfuscated Gradients.

Yifei Huang, Yaodong Yu, Hongyang Zhang, Yi Ma, Yuan Yao

Proceedings of the Mathematical and Scientific Machine Learning, 2021

2020

Random Smoothing Might be Unable to Certify L∞ Robustness for High-Dimensional Images.

Avrim Blum, Travis Dick, Naren Manoj, Hongyang Zhang

J. Mach. Learn. Res., 2020

On the Power of Abstention and Data-Driven Decision Making for Adversarial Robustness.

Maria-Florina Balcan, Avrim Blum, Dravyansh Sharma, Hongyang Zhang

CoRR, 2020

Adversarial Robustness of Stabilized NeuralODEs Might be from Obfuscated Gradients.

Yifei Huang, Yaodong Yu, Hongyang Zhang, Yi Ma, Yuan Yao

CoRR, 2020

Adversarial Robustness Through Local Lipschitzness.

Yao-Yuan Yang, Cyrus Rashtchian, Hongyang Zhang, Ruslan Salakhutdinov, Kamalika Chaudhuri

CoRR, 2020

Random Smoothing Might be Unable to Certify 𝓁_∞ Robustness for High-Dimensional Images.

Avrim Blum, Travis Dick, Naren Manoj, Hongyang Zhang

CoRR, 2020

A Closer Look at Accuracy vs. Robustness.

Yao-Yuan Yang, Cyrus Rashtchian, Hongyang Zhang, Ruslan Salakhutdinov, Kamalika Chaudhuri

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Self-Adaptive Training: beyond Empirical Risk Minimization.

Lang Huang, Chao Zhang, Hongyang Zhang

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Design and Interpretation of Universal Adversarial Patches in Face Detection.

Xiao Yang, Fangyun Wei, Hongyang Zhang, Jun Zhu

Proceedings of the Computer Vision - ECCV 2020, 2020

2019

New Advances in Sparse Learning, Deep Networks, and Adversarial Learning: Theory and Applications.

Hongyang Zhang

PhD thesis, 2019

Non-Convex Matrix Completion and Related Problems via Strong Duality.

Maria-Florina Balcan, Yingyu Liang, Zhao Song, David P. Woodruff, Hongyang Zhang

J. Mach. Learn. Res., 2019

Design and Interpretation of Universal Adversarial Patches in Face Detection.

Xiao Yang, Fangyun Wei, Hongyang Zhang, Xiang Ming, Jun Zhu

CoRR, 2019

Testing Matrix Rank, Optimally.

Maria-Florina Balcan, Yi Li, David P. Woodruff, Hongyang Zhang

Proceedings of the Thirtieth Annual ACM-SIAM Symposium on Discrete Algorithms, 2019

Efficient Symmetric Norm Regression via Linear Sketching.

Zhao Song, Ruosong Wang, Lin F. Yang, Hongyang Zhang, Peilin Zhong

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Optimal Analysis of Subset-Selection Based L_p Low-Rank Approximation.

Chen Dan, Hong Wang, Hongyang Zhang, Yuchen Zhou, Pradeep Ravikumar

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Theoretically Principled Trade-off between Robustness and Accuracy.

Hongyang Zhang, Yaodong Yu, Jiantao Jiao, Eric P. Xing, Laurent El Ghaoui, Michael I. Jordan

Proceedings of the 36th International Conference on Machine Learning, 2019

Deep Neural Networks with Multi-Branch Architectures Are Intrinsically Less Non-Convex.

Hongyang Zhang, Junru Shao, Ruslan Salakhutdinov

Proceedings of the 22nd International Conference on Artificial Intelligence and Statistics, 2019

2018

On the Applications of Robust PCA in Image and Video Processing.

Thierry Bouwmans, Sajid Javed, Hongyang Zhang, Zhouchen Lin, Ricardo Otazo

Proc. IEEE, 2018

Stackelberg GAN: Towards Provable Minimax Equilibrium via Multi-Generator Architectures.

Hongyang Zhang, Susu Xu, Jiantao Jiao, Pengtao Xie, Ruslan Salakhutdinov, Eric P. Xing

CoRR, 2018

Deep Neural Networks with Multi-Branch Architectures Are Less Non-Convex.

Hongyang Zhang, Junru Shao, Ruslan Salakhutdinov

CoRR, 2018

Matrix Completion and Related Problems via Strong Duality.

Maria-Florina Balcan, Yingyu Liang, David P. Woodruff, Hongyang Zhang

Proceedings of the 9th Innovations in Theoretical Computer Science Conference, 2018

Improved Algorithms for Adaptive Compressed Sensing.

Vasileios Nakos, Xiaofei Shi, David P. Woodruff, Hongyang Zhang

Proceedings of the 45th International Colloquium on Automata, Languages, and Programming, 2018

2017

S-Concave Distributions: Towards Broader Distributions for Noise-Tolerant and Sample-Efficient Learning Algorithms.

Maria-Florina Balcan, Hongyang Zhang

CoRR, 2017

Optimal Sample Complexity for Matrix Completion and Related Problems via 𝓁s₂-Regularization.

Maria-Florina Balcan, Yingyu Liang, David P. Woodruff, Hongyang Zhang

CoRR, 2017

Noise-Tolerant Interactive Learning Using Pairwise Comparisons.

Yichong Xu, Hongyang Zhang, Aarti Singh, Artur Dubrawski, Kyle Miller

Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

Sample and Computationally Efficient Learning Algorithms under S-Concave Distributions.

Maria-Florina Balcan, Hongyang Zhang

Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

Differentially Private Clustering in High-Dimensional Euclidean Spaces.

Maria-Florina Balcan, Travis Dick, Yingyu Liang, Wenlong Mou, Hongyang Zhang

Proceedings of the 34th International Conference on Machine Learning, 2017

Fast Compressive Phase Retrieval under Bounded Noise.

Hongyang Zhang, Shan You, Zhouchen Lin, Chao Xu

Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

2016

Completing Low-Rank Matrices With Corrupted Samples From Few Coefficients in General Basis.

Hongyang Zhang, Zhouchen Lin, Chao Zhang

IEEE Trans. Inf. Theory, 2016

Noise-Tolerant Life-Long Matrix Completion via Adaptive Sampling.

Maria-Florina Balcan, Hongyang Zhang

Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016

Learning and 1-bit Compressed Sensing under Asymmetric Noise.

Pranjal Awasthi, Maria-Florina Balcan, Nika Haghtalab, Hongyang Zhang

Proceedings of the 29th Conference on Learning Theory, 2016

2015

Relations Among Some Low-Rank Subspace Recovery Models.

Hongyang Zhang, Zhouchen Lin, Chao Zhang, Junbin Gao

Neural Comput., 2015

Manifold-Regularized Selectable Factor Extraction for Semi-supervised Image Classification.

Xin Shi, Chao Zhang, Fangyun Wei, Hongyang Zhang, Yiyuan She

Proceedings of the British Machine Vision Conference 2015, 2015

Exact Recoverability of Robust PCA via Outlier Pursuit with Tight Recovery Bounds.

Hongyang Zhang, Zhouchen Lin, Chao Zhang, Edward Y. Chang

Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015

2014

Robust latent low rank representation for subspace clustering.

Hongyang Zhang, Zhouchen Lin, Chao Zhang, Junbin Gao

Neurocomputing, 2014

2013

A Counterexample for the Validity of Using Nuclear Norm as a Convex Surrogate of Rank.

Hongyang Zhang, Zhouchen Lin, Chao Zhang

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2013