Robustifying $\ell_\infty$ Adversarial Training to the Union of Perturbation Models
Authors: Ameya D. Patil, Michael Tuttle, Alexander G. Schwing, Naresh R. Shanbhag | Published: 2021-05-31 | Updated: 2021-06-11
脆弱性評価手法
Evaluating Resilience of Encrypted Traffic Classification Against Adversarial Evasion Attacks
Authors: Ramy Maarouf, Danish Sattar, Ashraf Matrawy | Published: 2021-05-30
On Privacy and Confidentiality of Communications in Organizational Graphs
Authors: Masoumeh Shafieinejad, Huseyin Inan, Marcello Hasegawa, Robert Sim | Published: 2021-05-27
Fooling Partial Dependence via Data Poisoning
Authors: Hubert Baniecki, Wojciech Kretowicz, Przemyslaw Biecek | Published: 2021-05-26 | Updated: 2022-07-10
Regularization Can Help Mitigate Poisoning Attacks… with the Right Hyperparameters
Authors: Javier Carnerero-Cano, Luis Muñoz-González, Phillippa Spencer, Emil C. Lupu | Published: 2021-05-23
Leaky Nets: Recovering Embedded Neural Network Models and Inputs through Simple Power and Timing Side-Channels — Attacks and Defenses
Authors: Saurav Maji, Utsav Banerjee, Anantha P. Chandrakasan | Published: 2021-03-26
A Challenge Obfuscating Interface for Arbiter PUF Variants against Machine Learning Attacks
Authors: Yu Zhuang, Khalid T. Mursi, Li Gaoxiang | Published: 2021-03-24
DVERGE: Diversifying Vulnerabilities for Enhanced Robust Generation of Ensembles
Authors: Huanrui Yang, Jingyang Zhang, Hongliang Dong, Nathan Inkawhich, Andrew Gardner, Andrew Touchet, Wesley Wilkes, Heath Berry, Hai Li | Published: 2020-09-30 | Updated: 2020-10-18
SoK: Certified Robustness for Deep Neural Networks
Authors: Linyi Li, Tao Xie, Bo Li | Published: 2020-09-09 | Updated: 2023-04-12
Towards Memory Safe Python Enclave for Security Sensitive Computation
Authors: Huibo Wang, Mingshen Sun, Qian Feng, Pei Wang, Tongxin Li, Yu Ding | Published: 2020-05-12