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
RAD: On-line Anomaly Detection for Highly Unreliable Data
Authors: Zilong Zhao, Robert Birke, Rui Han, Bogdan Robu, Sara Bouchenak, Sonia Ben Mokhtar, Lydia Y. Chen | Published: 2019-11-11
DRAB-LOCUS: An Area-Efficient AES Architecture for Hardware Accelerator Co-Location on FPGAs
Authors: Jacob T. Grycel, Robert J. Walls | Published: 2019-11-11