Can You Really Backdoor Federated Learning?
Authors: Ziteng Sun, Peter Kairouz, Ananda Theertha Suresh, H. Brendan McMahan | Published: 2019-11-18 | Updated: 2019-12-02
敵対的攻撃手法
A New Ensemble Adversarial Attack Powered by Long-term Gradient Memories
Authors: Zhaohui Che, Ali Borji, Guangtao Zhai, Suiyi Ling, Jing Li, Patrick Le Callet | Published: 2019-11-18
Black-Box Adversarial Attack with Transferable Model-based Embedding
Authors: Zhichao Huang, Tong Zhang | Published: 2019-11-17 | Updated: 2020-01-05
Defending Against Model Stealing Attacks with Adaptive Misinformation
Authors: Sanjay Kariyappa, Moinuddin K Qureshi | Published: 2019-11-16
Suspicion-Free Adversarial Attacks on Clustering Algorithms
Authors: Anshuman Chhabra, Abhishek Roy, Prasant Mohapatra | Published: 2019-11-16
DomainGAN: Generating Adversarial Examples to Attack Domain Generation Algorithm Classifiers
Authors: Isaac Corley, Jonathan Lwowski, Justin Hoffman | Published: 2019-11-14 | Updated: 2020-02-14
There is Limited Correlation between Coverage and Robustness for Deep Neural Networks
Authors: Yizhen Dong, Peixin Zhang, Jingyi Wang, Shuang Liu, Jun Sun, Jianye Hao, Xinyu Wang, Li Wang, Jin Song Dong, Dai Ting | Published: 2019-11-14
Adversarial Examples in Modern Machine Learning: A Review
Authors: Rey Reza Wiyatno, Anqi Xu, Ousmane Dia, Archy de Berker | Published: 2019-11-13 | Updated: 2019-11-15
On Robustness to Adversarial Examples and Polynomial Optimization
Authors: Pranjal Awasthi, Abhratanu Dutta, Aravindan Vijayaraghavan | Published: 2019-11-12
Patch augmentation: Towards efficient decision boundaries for neural networks
Authors: Marcus D. Bloice, Peter M. Roth, Andreas Holzinger | Published: 2019-11-08 | Updated: 2019-11-25