Learning Failure-Inducing Models for Testing Software-Defined Networks
Authors: Raphaël Ollando, Seung Yeob Shin, Lionel C. Briand | Published: 2022-10-27 | Updated: 2024-01-08
Isometric 3D Adversarial Examples in the Physical World
Authors: Yibo Miao, Yinpeng Dong, Jun Zhu, Xiao-Shan Gao | Published: 2022-10-27
The Inconvenient Truths of Ground Truth for Binary Analysis
Authors: Jim Alves-Foss, Varsah Venugopal | Published: 2022-10-26
Short Paper: Static and Microarchitectural ML-Based Approaches For Detecting Spectre Vulnerabilities and Attacks
Authors: Chidera Biringa, Gaspard Baye, Gökhan Kul | Published: 2022-10-26
Multi-view Representation Learning from Malware to Defend Against Adversarial Variants
Authors: James Lee Hu, Mohammadreza Ebrahimi, Weifeng Li, Xin Li, Hsinchun Chen | Published: 2022-10-25
Synthetic Text Generation with Differential Privacy: A Simple and Practical Recipe
Authors: Xiang Yue, Huseyin A. Inan, Xuechen Li, Girish Kumar, Julia McAnallen, Hoda Shajari, Huan Sun, David Levitan, Robert Sim | Published: 2022-10-25 | Updated: 2023-07-18
A White-Box Adversarial Attack Against a Digital Twin
Authors: Wilson Patterson, Ivan Fernandez, Subash Neupane, Milan Parmar, Sudip Mittal, Shahram Rahimi | Published: 2022-10-25
Analyzing Privacy Leakage in Machine Learning via Multiple Hypothesis Testing: A Lesson From Fano
Authors: Chuan Guo, Alexandre Sablayrolles, Maziar Sanjabi | Published: 2022-10-24 | Updated: 2023-08-10
Multi-SpacePhish: Extending the Evasion-space of Adversarial Attacks against Phishing Website Detectors using Machine Learning
Authors: Ying Yuan, Giovanni Apruzzese, Mauro Conti | Published: 2022-10-24 | Updated: 2023-10-12
On the Robustness of Dataset Inference
Authors: Sebastian Szyller, Rui Zhang, Jian Liu, N. Asokan | Published: 2022-10-24 | Updated: 2023-06-19