Black-Box Certification with Randomized Smoothing: A Functional Optimization Based Framework
Authors: Dinghuai Zhang, Mao Ye, Chengyue Gong, Zhanxing Zhu, Qiang Liu | Published: 2020-02-21 | Updated: 2020-10-20
Defense Method
Enhanced Adversarial Strategically-Timed Attacks against Deep Reinforcement Learning
Authors: Chao-Han Huck Yang, Jun Qi, Pin-Yu Chen, Yi Ouyang, I-Te Danny Hung, Chin-Hui Lee, Xiaoli Ma | Published: 2020-02-20
Towards Certifiable Adversarial Sample Detection
Authors: Ilia Shumailov, Yiren Zhao, Robert Mullins, Ross Anderson | Published: 2020-02-20
On Adaptive Attacks to Adversarial Example Defenses
Authors: Florian Tramer, Nicholas Carlini, Wieland Brendel, Aleksander Madry | Published: 2020-02-19 | Updated: 2020-10-23
Deflecting Adversarial Attacks
Authors: Yao Qin, Nicholas Frosst, Colin Raffel, Garrison Cottrell, Geoffrey Hinton | Published: 2020-02-18
TensorShield: Tensor-based Defense Against Adversarial Attacks on Images
Authors: Negin Entezari, Evangelos E. Papalexakis | Published: 2020-02-18
Data and Model Dependencies of Membership Inference Attack
Authors: Shakila Mahjabin Tonni, Dinusha Vatsalan, Farhad Farokhi, Dali Kaafar, Zhigang Lu, Gioacchino Tangari | Published: 2020-02-17 | Updated: 2020-07-25
Undersensitivity in Neural Reading Comprehension
Authors: Johannes Welbl, Pasquale Minervini, Max Bartolo, Pontus Stenetorp, Sebastian Riedel | Published: 2020-02-15
Skip Connections Matter: On the Transferability of Adversarial Examples Generated with ResNets
Authors: Dongxian Wu, Yisen Wang, Shu-Tao Xia, James Bailey, Xingjun Ma | Published: 2020-02-14
Politics of Adversarial Machine Learning
Authors: Kendra Albert, Jonathon Penney, Bruce Schneier, Ram Shankar Siva Kumar | Published: 2020-02-01 | Updated: 2020-04-26