9 citations · 10 across the 4 of their papers we have counts for
4 papers
HarmNet: A Framework for Adaptive Multi-Turn Jailbreak Attacks on Large Language Models
Sidhant Narula, Javad Rafiei Asl, Mohammad Ghasemigol +2
Large Language Models (LLMs) remain vulnerable to multi-turn jailbreak attacks. We introduce HarmNet, a modular framework comprising ThoughtNet, a hierarchical semantic network; a…
NEXUS: Network Exploration for eXploiting Unsafe Sequences in Multi-Turn LLM Jailbreaks
Javad Rafiei Asl, Sidhant Narula, Mohammad Ghasemigol +2
Large Language Models (LLMs) have revolutionized natural language processing but remain vulnerable to jailbreak attacks, especially multi-turn jailbreaks that distribute malicious…
SSCAE -- Semantic, Syntactic, and Context-aware natural language Adversarial Examples generator
Javad Rafiei Asl, Mohammad H. Rafiei, Manar Alohaly +1
Machine learning models are vulnerable to maliciously crafted Adversarial Examples (AEs). Training a machine learning model with AEs improves its robustness and stability against a…
RobustSentEmbed: Robust Sentence Embeddings Using Adversarial Self-Supervised Contrastive Learning
Javad Rafiei Asl, Prajwal Panzade, Eduardo Blanco +2
Pre-trained language models (PLMs) have consistently demonstrated outstanding performance across a diverse spectrum of natural language processing tasks. Nevertheless, despite thei…