24 citations · 115 across the 57 of their papers we have counts for
3 papers · 1 filter
Breaking Windows Malware Detection: A Comprehensive Evaluation of Problem-Space Adversarial Robustness
Mashal Zainab, Salijona Dyrmishi, Hamid Bostani +2
Problem-space evasion attacks have exposed critical weaknesses in machine learning-based malware detectors; yet, their evaluation remains fragmented across models, datasets, and at…
Learning from What We Know: How to Perform Vulnerability Prediction using Noisy Historical Data
Aayush Garg, Renzo Degiovanni, Matthieu Jimenez +3
Vulnerability prediction refers to the problem of identifying system components that are most likely to be vulnerable. Typically, this problem is tackled by training binary classif…
Adversarial Embedding: A robust and elusive Steganography and Watermarking technique
Salah Ghamizi, Maxime Cordy, Mike Papadakis +1
We propose adversarial embedding, a new steganography and watermarking technique that embeds secret information within images. The key idea of our method is to use deep neural netw…