Opportunities and Challenges in Deep Learning Adversarial Robustness: A Survey
Authors: Samuel Henrique Silva, Peyman Najafirad | Published: 2020-07-01 | Updated: 2020-07-03
Literature Database
Multi-Task Variational Information Bottleneck
Authors: Weizhu Qian, Bowei Chen, Yichao Zhang, Guanghui Wen, Franck Gechter | Published: 2020-07-01 | Updated: 2021-03-01
A Le Cam Type Bound for Adversarial Learning and Applications
Authors: Qiuling Xu, Kevin Bello, Jean Honorio | Published: 2020-07-01 | Updated: 2021-02-10
Adversarial Deep Ensemble: Evasion Attacks and Defenses for Malware Detection
Authors: Deqiang Li, Qianmu Li | Published: 2020-06-30
Model-Targeted Poisoning Attacks with Provable Convergence
Authors: Fnu Suya, Saeed Mahloujifar, Anshuman Suri, David Evans, Yuan Tian | Published: 2020-06-30 | Updated: 2021-04-21
Reducing Risk of Model Inversion Using Privacy-Guided Training
Authors: Abigail Goldsteen, Gilad Ezov, Ariel Farkash | Published: 2020-06-29
FDA3 : Federated Defense Against Adversarial Attacks for Cloud-Based IIoT Applications
Authors: Yunfei Song, Tian Liu, Tongquan Wei, Xiangfeng Wang, Zhe Tao, Mingsong Chen | Published: 2020-06-28
Understanding Gradient Clipping in Private SGD: A Geometric Perspective
Authors: Xiangyi Chen, Zhiwei Steven Wu, Mingyi Hong | Published: 2020-06-27 | Updated: 2021-03-18
ATOM: Robustifying Out-of-distribution Detection Using Outlier Mining
Authors: Jiefeng Chen, Yixuan Li, Xi Wu, Yingyu Liang, Somesh Jha | Published: 2020-06-26 | Updated: 2021-06-30
Can We Mitigate Backdoor Attack Using Adversarial Detection Methods?
Authors: Kaidi Jin, Tianwei Zhang, Chao Shen, Yufei Chen, Ming Fan, Chenhao Lin, Ting Liu | Published: 2020-06-26 | Updated: 2022-07-28