Papers by Javad Rafiei Asl
RobustSentEmbed: Robust Sentence Embeddings Using Adversarial Self-Supervised Contrastive Learning (2024.findings-naacl)
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| Challenge: | Existing pre-trained language models exhibit poor generalization and robustness in adversarial settings. |
| Approach: | They propose a self-supervised sentence embedding framework that improves generalization and robustness against adversarial attacks. |
| Outcome: | The proposed framework reduces the success rate of adversarial attacks by almost half . it also improves semantic text similarity tasks and various transfer tasks . |
NEXUS: Network Exploration for eXploiting Unsafe Sequences in Multi-Turn LLM Jailbreaks (2025.emnlp-main)
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| Challenge: | Existing approaches to large language models suffer from limited exploration of adversarial space . multi-turn jailbreaks that distribute malicious intent across benign exchanges are vulnerable . NEXUS aims to exploit the adversarials of LLMs for maximum effectiveness in jailbreak scenarios . |
| Approach: | They propose a framework for constructing, refining, and executing optimized multi-turn attacks . NEXUS builds a semantic network of thought that captures a comprehensive representation of the adversarial space . |
| Outcome: | NEXUS can achieve higher attack success rate than state-of-the-art approaches . it builds a semantic network of thought that captures a comprehensive representation of the adversarial space . |