Adversarial Paraphrasing: A Universal Attack for Humanizing AI-Generated Text.
CoRR, June, 2025
Almost AI, Almost Human: The Challenge of Detecting AI-Polished Writing.
CoRR, February, 2025
ML-Based Behavioral Malware Detection Is Far From a Solved Problem.
Proceedings of the IEEE Conference on Secure and Trustworthy Machine Learning, 2025
Demystifying Behavior-Based Malware Detection at Endpoints.
CoRR, 2024
MAlign: Explainable static raw-byte based malware family classification using sequence alignment.
Comput. Secur., 2024
LLM-Check: Investigating Detection of Hallucinations in Large Language Models.
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024
Fast Adversarial Attacks on Language Models In One GPU Minute.
Proceedings of the Forty-first International Conference on Machine Learning, 2024
DRSM: De-Randomized Smoothing on Malware Classifier Providing Certified Robustness.
Proceedings of the Twelfth International Conference on Learning Representations, 2024
Contrastive Self-Supervised Learning Based Approach for Patient Similarity: A Case Study on Atrial Fibrillation Detection from PPG Signal.
CoRR, 2023
Adversarial Robustness of Learning-based Static Malware Classifiers.
CoRR, 2023
MALIGN: Adversarially Robust Malware Family Detection using Sequence Alignment.
CoRR, 2021