Building Robust Ensembles via Margin Boosting
Authors: Dinghuai Zhang, Hongyang Zhang, Aaron Courville, Yoshua Bengio, Pradeep Ravikumar, Arun Sai Suggala | Published: 2022-06-07
敵対的攻撃手法
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
White-box Membership Attack Against Machine Learning Based Retinopathy Classification
Authors: Mounia Hamidouche, Reda Bellafqira, Gwenolé Quellec, Gouenou Coatrieux | Published: 2022-05-30
Adversarial attacks and defenses in Speaker Recognition Systems: A survey
Authors: Jiahe Lan, Rui Zhang, Zheng Yan, Jie Wang, Yu Chen, Ronghui Hou | Published: 2022-05-27
A General Framework for Evaluating Robustness of Combinatorial Optimization Solvers on Graphs
Authors: Han Lu, Zenan Li, Runzhong Wang, Qibing Ren, Junchi Yan, Xiaokang Yang | Published: 2021-12-28 | Updated: 2022-06-04
SoK: A Study of the Security on Voice Processing Systems
Authors: Robert Chang, Logan Kuo, Arthur Liu, Nader Sehatbakhsh | Published: 2021-12-24
Single-Shot Black-Box Adversarial Attacks Against Malware Detectors: A Causal Language Model Approach
Authors: James Lee Hu, Mohammadreza Ebrahimi, Hsinchun Chen | Published: 2021-12-03
Adversarial Attacks Against Deep Generative Models on Data: A Survey
Authors: Hui Sun, Tianqing Zhu, Zhiqiu Zhang, Dawei Jin. Ping Xiong, Wanlei Zhou | Published: 2021-12-01
Robust and Information-theoretically Safe Bias Classifier against Adversarial Attacks
Authors: Lijia Yu, Xiao-Shan Gao | Published: 2021-11-08 | Updated: 2022-02-14
Get a Model! Model Hijacking Attack Against Machine Learning Models
Authors: Ahmed Salem, Michael Backes, Yang Zhang | Published: 2021-11-08