A Survey of Adversarial Learning on Graphs
Authors: Liang Chen, Jintang Li, Jiaying Peng, Tao Xie, Zengxu Cao, Kun Xu, Xiangnan He, Zibin Zheng, Bingzhe Wu | Published: 2020-03-10 | Updated: 2022-04-05
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Manifold Regularization for Locally Stable Deep Neural Networks
Authors: Charles Jin, Martin Rinard | Published: 2020-03-09 | Updated: 2020-09-22
Towards Probabilistic Verification of Machine Unlearning
Authors: David Marco Sommer, Liwei Song, Sameer Wagh, Prateek Mittal | Published: 2020-03-09 | Updated: 2020-12-01
Gradient-based adversarial attacks on categorical sequence models via traversing an embedded world
Authors: Ivan Fursov, Alexey Zaytsev, Nikita Kluchnikov, Andrey Kravchenko, Evgeny Burnaev | Published: 2020-03-09 | Updated: 2020-10-12
Security of Distributed Machine Learning: A Game-Theoretic Approach to Design Secure DSVM
Authors: Rui Zhang, Quanyan Zhu | Published: 2020-03-08 | Updated: 2020-04-26
Some Geometrical and Topological Properties of DNNs’ Decision Boundaries
Authors: Bo Liu, Mengya Shen | Published: 2020-03-07 | Updated: 2021-04-16
Dynamic Backdoor Attacks Against Machine Learning Models
Authors: Ahmed Salem, Rui Wen, Michael Backes, Shiqing Ma, Yang Zhang | Published: 2020-03-07 | Updated: 2022-03-03
MAB-Malware: A Reinforcement Learning Framework for Attacking Static Malware Classifiers
Authors: Wei Song, Xuezixiang Li, Sadia Afroz, Deepali Garg, Dmitry Kuznetsov, Heng Yin | Published: 2020-03-06 | Updated: 2021-04-29
Forgetting Outside the Box: Scrubbing Deep Networks of Information Accessible from Input-Output Observations
Authors: Aditya Golatkar, Alessandro Achille, Stefano Soatto | Published: 2020-03-05 | Updated: 2020-10-29
Confusing and Detecting ML Adversarial Attacks with Injected Attractors
Authors: Jiyi Zhang, Ee-Chien Chang, Hwee Kuan Lee | Published: 2020-03-05 | Updated: 2021-03-08