106 citations · 139 across the 5 of their papers we have counts for
3 papers · 1 filter
Learning to Separate Clusters of Adversarial Representations for Robust Adversarial Detection
Byunggill Joe, Jihun Hamm, Sung Ju Hwang +2
Although deep neural networks have shown promising performances on various tasks, they are susceptible to incorrect predictions induced by imperceptibly small perturbations in inpu…
Revisiting Binary Code Similarity Analysis using Interpretable Feature Engineering and Lessons Learned
Dongkwan Kim, Eunsoo Kim, Sang Kil Cha +2
Binary code similarity analysis (BCSA) is widely used for diverse security applications, including plagiarism detection, software license violation detection, and vulnerability dis…
Montage: A Neural Network Language Model-Guided JavaScript Engine Fuzzer
Suyoung Lee, HyungSeok Han, Sang Kil Cha +1
JavaScript (JS) engine vulnerabilities pose significant security threats affecting billions of web browsers. While fuzzing is a prevalent technique for finding such vulnerabilities…