Generalization Bounds for Adversarial Contrastive Learning
Authors: Xin Zou, Weiwei Liu | Published: 2023-02-21
敵対的サンプル
On the Discredibility of Membership Inference Attacks
Authors: Shahbaz Rezaei, Xin Liu | Published: 2022-12-06 | Updated: 2023-04-28
Hijack Vertical Federated Learning Models As One Party
Authors: Pengyu Qiu, Xuhong Zhang, Shouling Ji, Changjiang Li, Yuwen Pu, Xing Yang, Ting Wang | Published: 2022-12-01 | Updated: 2024-02-16
Evolution of Neural Tangent Kernels under Benign and Adversarial Training
Authors: Noel Loo, Ramin Hasani, Alexander Amini, Daniela Rus | Published: 2022-10-21
Scaling Adversarial Training to Large Perturbation Bounds
Authors: Sravanti Addepalli, Samyak Jain, Gaurang Sriramanan, R. Venkatesh Babu | Published: 2022-10-18
Towards Generating Adversarial Examples on Mixed-type Data
Authors: Han Xu, Menghai Pan, Zhimeng Jiang, Huiyuan Chen, Xiaoting Li, Mahashweta Das, Hao Yang | Published: 2022-10-17
Preprocessors Matter! Realistic Decision-Based Attacks on Machine Learning Systems
Authors: Chawin Sitawarin, Florian Tramèr, Nicholas Carlini | Published: 2022-10-07 | Updated: 2023-07-20
A Black-Box Attack on Optical Character Recognition Systems
Authors: Samet Bayram, Kenneth Barner | Published: 2022-08-30
Customized Watermarking for Deep Neural Networks via Label Distribution Perturbation
Authors: Tzu-Yun Chien, Chih-Ya Shen | Published: 2022-08-10
Design of secure and robust cognitive system for malware detection
Authors: Sanket Shukla | Published: 2022-08-03