Improving Adversarial Robustness by Putting More Regularizations on Less Robust Samples
Authors: Dongyoon Yang, Insung Kong, Yongdai Kim | Published: 2022-06-07 | Updated: 2023-06-01
Subject Membership Inference Attacks in Federated Learning
Authors: Anshuman Suri, Pallika Kanani, Virendra J. Marathe, Daniel W. Peterson | Published: 2022-06-07 | Updated: 2023-06-02
FairVFL: A Fair Vertical Federated Learning Framework with Contrastive Adversarial Learning
Authors: Tao Qi, Fangzhao Wu, Chuhan Wu, Lingjuan Lyu, Tong Xu, Zhongliang Yang, Yongfeng Huang, Xing Xie | Published: 2022-06-07 | Updated: 2022-10-31
Sampling without Replacement Leads to Faster Rates in Finite-Sum Minimax Optimization
Authors: Aniket Das, Bernhard Schölkopf, Michael Muehlebach | Published: 2022-06-07 | Updated: 2022-10-10
RORL: Robust Offline Reinforcement Learning via Conservative Smoothing
Authors: Rui Yang, Chenjia Bai, Xiaoteng Ma, Zhaoran Wang, Chongjie Zhang, Lei Han | Published: 2022-06-06 | Updated: 2022-10-22
Deep Reinforcement Learning for Cybersecurity Threat Detection and Protection: A Review
Authors: Mohit Sewak, Sanjay K. Sahay, Hemant Rathore | Published: 2022-06-06
Spam Detection Using BERT
Authors: Thaer Sahmoud, Mohammad Mikki | Published: 2022-06-06 | Updated: 2022-06-07
Leveraging Machine Learning for Ransomware Detection
Authors: Nanda Rani, Sunita Vikrant Dhavale | Published: 2022-06-04
A New Security Boundary of Component Differentially Challenged XOR PUFs Against Machine Learning Modeling Attacks
Authors: Gaoxiang Li, Khalid T. Mursi, Ahmad O. Aseeri, Mohammed S. Alkatheiri, Yu Zhuang | Published: 2022-06-02
Defense Against Gradient Leakage Attacks via Learning to Obscure Data
Authors: Yuxuan Wan, Han Xu, Xiaorui Liu, Jie Ren, Wenqi Fan, Jiliang Tang | Published: 2022-06-01