Machine Learning · Computer Science
Stochastic Activation Pruning for Robust Adversarial Defense
Guneet S. Dhillon, Kamyar Azizzadenesheli, Zachary C. Lipton, Jeremy Bernstein +3
2018-03-06
Cryptography and Security · Computer Science
Rethinking the Security of DP-SGD: A Corrected Analysis of Differentially Private Machine Learning
Wenhao Wang, Shujie Cui, Hui Cui, Xingliang Yuan
2026-05-18
Cryptography and Security · Computer Science
Mitigating Advanced Adversarial Attacks with More Advanced Gradient Obfuscation Techniques
Han Qiu, Yi Zeng, Qinkai Zheng, Tianwei Zhang +2
2020-05-29
Cryptography and Security · Computer Science
Debiasing Backdoor Attack: A Benign Application of Backdoor Attack in Eliminating Data Bias
Shangxi Wu, Qiuyang He, Yi Zhang, Jitao Sang
2022-02-23
Machine Learning · Computer Science
Defense Against Gradient Leakage Attacks via Learning to Obscure Data
Yuxuan Wan, Han Xu, Xiaorui Liu, Jie Ren +2
2022-06-03
Cryptography and Security · Computer Science
Gradient Obfuscation Gives a False Sense of Security in Federated Learning
Kai Yue, Richeng Jin, Chau-Wai Wong, Dror Baron +1
2022-10-17
Machine Learning · Computer Science
Robust Deep Learning Models Against Semantic-Preserving Adversarial Attack
Dashan Gao, Yunce Zhao, Yinghua Yao, Zeqi Zhang +2
2023-04-11
Cryptography and Security · Computer Science
Gradient Shaping: Enhancing Backdoor Attack Against Reverse Engineering
Rui Zhu, Di Tang, Siyuan Tang, Guanhong Tao +3
2024-07-23
Optimization and Control · Mathematics
Stochastic Approximation Beyond Gradient for Signal Processing and Machine Learning
Aymeric Dieuleveut, Gersende Fort, Eric Moulines, Hoi-To Wai
2023-07-18
Computer Vision and Pattern Recognition · Computer Science
Enhancing Generalization of Universal Adversarial Perturbation through Gradient Aggregation
Xuannan Liu, Yaoyao Zhong, Yuhang Zhang, Lixiong Qin +1
2023-08-14
Cryptography and Security · Computer Science
Evaluating Gradient Inversion Attacks and Defenses in Federated Learning
Yangsibo Huang, Samyak Gupta, Zhao Song, Kai Li +1
2021-12-02
Cryptography and Security · Computer Science
Towards Imperceptible Adversarial Defense: A Gradient-Driven Shield against Facial Manipulations
Yue Li, Linying Xue, Dongdong Lin, Qiushi Li +2
2025-10-03
Cryptography and Security · Computer Science
Tolerating Adversarial Attacks and Byzantine Faults in Distributed Machine Learning
Yusen Wu, Hao Chen, Xin Wang, Chao Liu +2
2021-09-07
Machine Learning · Computer Science
Intrinsic Biologically Plausible Adversarial Robustness
Matilde Tristany Farinha, Thomas Ortner, Giorgia Dellaferrera, Benjamin Grewe +1
2024-06-04
Information Theory · Computer Science
Spectral-Aligned Pruning for Universal Error-Correcting Code Transformers
Sanghyeon Cho, Taewoo Park, Seong-Joon Park, Dae-Young Yun +3
2026-05-11
Machine Learning · Computer Science
SPARD: Defending Harmful Fine-Tuning Attack via Safety Projection with Relevance-Diversity Data Selection
Shuhao Chen, Weisen Jiang, Yeqi Gong, Shengda Luo +4
2026-05-28
Machine Learning · Computer Science
SPAR: Support-Preserving Action Rectification
Jiaxin Zhao, Weihang Pan, Xun Liang, Binbin Lin
2026-05-28
Computer Vision and Pattern Recognition · Computer Science
Imbalanced Gradients: A Subtle Cause of Overestimated Adversarial Robustness
Xingjun Ma, Linxi Jiang, Hanxun Huang, Zejia Weng +2
2023-03-30