1 citations · 3 across the 8 of their papers we have counts for
4 papers · 1 filter
TRAP: Tree-Guided Reinforcement-Augmented Probing for Automated LLM Jailbreaking
Mohammad Reza Mirbagheri, Amir Mahdi Sadeghzadeh
Aligned large language models (LLMs) remain vulnerable to jailbreak prompts that circumvent their safety guardrails, making the identification of these vulnerabilities important fo…
Mal2GCN: A Robust Malware Detection Approach Using Deep Graph Convolutional Networks With Non-Negative Weights
Omid Kargarnovin, Amir Mahdi Sadeghzadeh, Rasool Jalili
With the growing pace of using Deep Learning (DL) to solve various problems, securing these models against adversaries has become one of the main concerns of researchers. Recent st…
AWA: Adversarial Website Adaptation
Amir Mahdi Sadeghzadeh, Behrad Tajali, Rasool Jalili
One of the most important obligations of privacy-enhancing technologies is to bring confidentiality and privacy to users' browsing activities on the Internet. The website fingerpri…
Adversarial Network Traffic: Towards Evaluating the Robustness of Deep Learning-Based Network Traffic Classification
Amir Mahdi Sadeghzadeh, Saeed Shiravi, Rasool Jalili
Network traffic classification is used in various applications such as network traffic management, policy enforcement, and intrusion detection systems. Although most applications e…