Robust Anomaly Detection and Backdoor Attack Detection Via Differential Privacy
Authors: Min Du, Ruoxi Jia, Dawn Song | Published: 2019-11-16
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Defending Against Model Stealing Attacks with Adaptive Misinformation
Authors: Sanjay Kariyappa, Moinuddin K Qureshi | Published: 2019-11-16
Suspicion-Free Adversarial Attacks on Clustering Algorithms
Authors: Anshuman Chhabra, Abhishek Roy, Prasant Mohapatra | Published: 2019-11-16
DomainGAN: Generating Adversarial Examples to Attack Domain Generation Algorithm Classifiers
Authors: Isaac Corley, Jonathan Lwowski, Justin Hoffman | Published: 2019-11-14 | Updated: 2020-02-14
There is Limited Correlation between Coverage and Robustness for Deep Neural Networks
Authors: Yizhen Dong, Peixin Zhang, Jingyi Wang, Shuang Liu, Jun Sun, Jianye Hao, Xinyu Wang, Li Wang, Jin Song Dong, Dai Ting | Published: 2019-11-14
Machine Learning Based Network Vulnerability Analysis of Industrial Internet of Things
Authors: Maede Zolanvari, Marcio A. Teixeira, Lav Gupta, Khaled M. Khan, Raj Jain | Published: 2019-11-13
Adversarial Examples in Modern Machine Learning: A Review
Authors: Rey Reza Wiyatno, Anqi Xu, Ousmane Dia, Archy de Berker | Published: 2019-11-13 | Updated: 2019-11-15
Eternal Sunshine of the Spotless Net: Selective Forgetting in Deep Networks
Authors: Aditya Golatkar, Alessandro Achille, Stefano Soatto | Published: 2019-11-12 | Updated: 2020-03-31
On Robustness to Adversarial Examples and Polynomial Optimization
Authors: Pranjal Awasthi, Abhratanu Dutta, Aravindan Vijayaraghavan | Published: 2019-11-12
Robust Design of Deep Neural Networks against Adversarial Attacks based on Lyapunov Theory
Authors: Arash Rahnama, Andre T. Nguyen, Edward Raff | Published: 2019-11-12