39 citations · 49 across the 4 of their papers we have counts for
5 papers
AutoRISE: Agent-Driven Strategy Evolution for Red-Teaming Large Language Models
Tanmay Gautam, Alireza Bahramali, Sandeep Atluri
Automated red-teaming methods for large language models typically optimize attack prompts within a fixed, human-designed strategy, leaving the attack strategy itself unchanged. We…
Robust Adversarial Attacks Against DNN-Based Wireless Communication Systems
Alireza Bahramali, Milad Nasr, Amir Houmansadr +2
Deep Neural Networks (DNNs) have become prevalent in wireless communication systems due to their promising performance. However, similar to other DNN-based applications, they are v…
Practical Traffic Analysis Attacks on Secure Messaging Applications
Alireza Bahramali, Ramin Soltani, Amir Houmansadr +2
Instant Messaging (IM) applications like Telegram, Signal, and WhatsApp have become extremely popular in recent years. Unfortunately, such IM services have been targets of continuo…
Blind Adversarial Network Perturbations
Milad Nasr, Alireza Bahramali, Amir Houmansadr
Deep Neural Networks (DNNs) are commonly used for various traffic analysis problems, such as website fingerprinting and flow correlation, as they outperform traditional (e.g., stat…
DeepCorr: Strong Flow Correlation Attacks on Tor Using Deep Learning
Milad Nasr, Alireza Bahramali, Amir Houmansadr
Flow correlation is the core technique used in a multitude of deanonymization attacks on Tor. Despite the importance of flow correlation attacks on Tor, existing flow correlation t…