On existence, uniqueness and scalability of adversarial robustness measures for AI classifiers
Authors: Illia Horenko | Published: 2023-10-19 | Updated: 2023-11-15
Optimization Methods
BufferSearch: Generating Black-Box Adversarial Texts With Lower Queries
Authors: Wenjie Lv, Zhen Wang, Yitao Zheng, Zhehua Zhong, Qi Xuan, Tianyi Chen | Published: 2023-10-14
DPZero: Private Fine-Tuning of Language Models without Backpropagation
Authors: Liang Zhang, Bingcong Li, Kiran Koshy Thekumparampil, Sewoong Oh, Niao He | Published: 2023-10-14 | Updated: 2024-06-06
Bias-Aware Minimisation: Understanding and Mitigating Estimator Bias in Private SGD
Authors: Moritz Knolle, Robert Dorfman, Alexander Ziller, Daniel Rueckert, Georgios Kaissis | Published: 2023-08-23
Optimized Deep Learning Models for Malware Detection under Concept Drift
Authors: William Maillet, Benjamin Marais | Published: 2023-08-21 | Updated: 2024-08-01
AutoReP: Automatic ReLU Replacement for Fast Private Network Inference
Authors: Hongwu Peng, Shaoyi Huang, Tong Zhou, Yukui Luo, Chenghong Wang, Zigeng Wang, Jiahui Zhao, Xi Xie, Ang Li, Tony Geng, Kaleel Mahmood, Wujie Wen, Xiaolin Xu, Caiwen Ding | Published: 2023-08-20
Robust Linear Regression: Phase-Transitions and Precise Tradeoffs for General Norms
Authors: Elvis Dohmatob, Meyer Scetbon | Published: 2023-08-01
Doubly Robust Instance-Reweighted Adversarial Training
Authors: Daouda Sow, Sen Lin, Zhangyang Wang, Yingbin Liang | Published: 2023-08-01
On Neural Network approximation of ideal adversarial attack and convergence of adversarial training
Authors: Rajdeep Haldar, Qifan Song | Published: 2023-07-30
TrojanNet: Detecting Trojans in Quantum Circuits using Machine Learning
Authors: Subrata Das, Swaroop Ghosh | Published: 2023-06-29