Machine Unlearning
Authors: Lucas Bourtoule, Varun Chandrasekaran, Christopher A. Choquette-Choo, Hengrui Jia, Adelin Travers, Baiwu Zhang, David Lie, Nicolas Papernot | Published: 2019-12-09 | Updated: 2020-12-15
Hardening Random Forest Cyber Detectors Against Adversarial Attacks
Authors: Giovanni Apruzzese, Mauro Andreolini, Michele Colajanni, Mirco Marchetti | Published: 2019-12-09
Detecting Cyberattacks in Industrial Control Systems Using Online Learning Algorithms
Authors: Guangxia Lia, Yulong Shena, Peilin Zhaob, Xiao Lu, Jia Liu, Yangyang Liu, Steven C. H. Hoi | Published: 2019-12-08
An Empirical Study on the Relation between Network Interpretability and Adversarial Robustness
Authors: Adam Noack, Isaac Ahern, Dejing Dou, Boyang Li | Published: 2019-12-07 | Updated: 2020-12-04
Principal Component Properties of Adversarial Samples
Authors: Malhar Jere, Sandro Herbig, Christine Lind, Farinaz Koushanfar | Published: 2019-12-07
An Empirical Study on the Intrinsic Privacy of SGD
Authors: Stephanie L. Hyland, Shruti Tople | Published: 2019-12-05 | Updated: 2022-02-28
Label-Consistent Backdoor Attacks
Authors: Alexander Turner, Dimitris Tsipras, Aleksander Madry | Published: 2019-12-05 | Updated: 2019-12-06
ASTRA: High Throughput 3PC over Rings with Application to Secure Prediction
Authors: Harsh Chaudhari, Ashish Choudhury, Arpita Patra, Ajith Suresh | Published: 2019-12-05
A Survey of Game Theoretic Approaches for Adversarial Machine Learning in Cybersecurity Tasks
Authors: Prithviraj Dasgupta, Joseph B. Collins | Published: 2019-12-04
A Survey of Black-Box Adversarial Attacks on Computer Vision Models
Authors: Siddhant Bhambri, Sumanyu Muku, Avinash Tulasi, Arun Balaji Buduru | Published: 2019-12-03 | Updated: 2020-02-07