Downscaling Attack and Defense: Turning What You See Back Into What You Get
Authors: Andrew J. Lohn | Published: 2020-10-06 | Updated: 2020-10-07
敵対的攻撃
Adversarial Boot Camp: label free certified robustness in one epoch
Authors: Ryan Campbell, Chris Finlay, Adam M Oberman | Published: 2020-10-05
Model extraction from counterfactual explanations
Authors: Ulrich Aïvodji, Alexandre Bolot, Sébastien Gambs | Published: 2020-09-03
Yet Meta Learning Can Adapt Fast, It Can Also Break Easily
Authors: Han Xu, Yaxin Li, Xiaorui Liu, Hui Liu, Jiliang Tang | Published: 2020-09-02
Adversarial Attacks on Deep Learning Systems for User Identification based on Motion Sensors
Authors: Cezara Benegui, Radu Tudor Ionescu | Published: 2020-09-02 | Updated: 2020-11-05
Vulnerability-Aware Poisoning Mechanism for Online RL with Unknown Dynamics
Authors: Yanchao Sun, Da Huo, Furong Huang | Published: 2020-09-02 | Updated: 2022-02-15
MALCOM: Generating Malicious Comments to Attack Neural Fake News Detection Models
Authors: Thai Le, Suhang Wang, Dongwon Lee | Published: 2020-09-01 | Updated: 2020-09-27
Imitation Privacy
Authors: Xun Xian, Xinran Wang, Mingyi Hong, Jie Ding, Reza Ghanadan | Published: 2020-08-30
Benchmarking adversarial attacks and defenses for time-series data
Authors: Shoaib Ahmed Siddiqui, Andreas Dengel, Sheraz Ahmed | Published: 2020-08-30
Adversarial Privacy Preserving Graph Embedding against Inference Attack
Authors: Kaiyang Li, Guangchun Luo, Yang Ye, Wei Li, Shihao Ji, Zhipeng Cai | Published: 2020-08-30