activity
20182026
most citedDeepCorr: Strong Flow Correlation Attacks on Tor Using Deep Learning

163 citations · 216 across the 7 of their papers we have counts for

collaborators

7 papers

cs.CR2026

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…

cs.CR2023

Realistic Website Fingerprinting By Augmenting Network Trace

Alireza Bahramali, Ardavan Bozorgi, Amir Houmansadr

Website Fingerprinting (WF) is considered a major threat to the anonymity of Tor users (and other anonymity systems). While state-of-the-art WF techniques have claimed high attack…

cs.LG2023★ 4 cited

Truveta Mapper: A Zero-shot Ontology Alignment Framework

Mariyam Amir, Murchana Baruah, Mahsa Eslamialishah +4

In this paper, a new perspective is suggested for unsupervised Ontology Matching (OM) or Ontology Alignment (OA) by treating it as a translation task. Ontologies are represented as…

cs.CR2021★ 5 cited

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…

cs.CR2020★ 39 cited

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…

cs.CR2020★ 5 cited

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…

cs.CR2018★ 163 cited

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…