Learning to Disentangle Robust and Vulnerable Features for Adversarial Detection
Authors: Byunggill Joe, Sung Ju Hwang, Insik Shin | Published: 2019-09-10
BOSH: An Efficient Meta Algorithm for Decision-based Attacks
Authors: Zhenxin Xiao, Puyudi Yang, Yuchen Jiang, Kai-Wei Chang, Cho-Jui Hsieh | Published: 2019-09-10 | Updated: 2019-10-14
Adversarial Robustness Against the Union of Multiple Perturbation Models
Authors: Pratyush Maini, Eric Wong, J. Zico Kolter | Published: 2019-09-09 | Updated: 2020-07-28
GAN-Leaks: A Taxonomy of Membership Inference Attacks against Generative Models
Authors: Dingfan Chen, Ning Yu, Yang Zhang, Mario Fritz | Published: 2019-09-09 | Updated: 2020-11-23
Devign: Effective Vulnerability Identification by Learning Comprehensive Program Semantics via Graph Neural Networks
Authors: Yaqin Zhou, Shangqing Liu, Jingkai Siow, Xiaoning Du, Yang Liu | Published: 2019-09-08
When Explainability Meets Adversarial Learning: Detecting Adversarial Examples using SHAP Signatures
Authors: Gil Fidel, Ron Bitton, Asaf Shabtai | Published: 2019-09-08
On the Need for Topology-Aware Generative Models for Manifold-Based Defenses
Authors: Uyeong Jang, Susmit Jha, Somesh Jha | Published: 2019-09-07 | Updated: 2020-02-17
Distributed creation of Machine learning agents for Blockchain analysis
Authors: Zvezdin Besarabov, Todor Kolev | Published: 2019-09-06
Blackbox Attacks on Reinforcement Learning Agents Using Approximated Temporal Information
Authors: Yiren Zhao, Ilia Shumailov, Han Cui, Xitong Gao, Robert Mullins, Ross Anderson | Published: 2019-09-06 | Updated: 2019-11-21
Spatiotemporally Constrained Action Space Attacks on Deep Reinforcement Learning Agents
Authors: Xian Yeow Lee, Sambit Ghadai, Kai Liang Tan, Chinmay Hegde, Soumik Sarkar | Published: 2019-09-05 | Updated: 2019-11-19