Papers by Pedram Zaree
Attention Eclipse: Manipulating Attention to Bypass LLM Safety-Alignment (2025.emnlp-main)
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Pedram Zaree, Md Abdullah Al Mamun, Quazi Mishkatul Alam, Yue Dong, Ihsen Alouani, Nael Abu-Ghazaleh
| Challenge: | Recent research has shown that carefully crafted jailbreak inputs can induce large language models to produce harmful outputs, despite safety measures such as alignment. |
| Approach: | They propose a method for generating highly effective Jailbreak attacks that selectively strengthen or weaken attention among different parts of the prompt. |
| Outcome: | The proposed attacks amplify the success rate of existing Jailbreak algorithms while lowering generation cost. |
Vulnerabilities of Large Language Models to Adversarial Attacks (2024.acl-tutorials)
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| Challenge: | This tutorial focuses on the vulnerabilities of Large Language Models to adversarial attacks . the tutorial lays the foundation by explaining safety-aligned models and concepts in cybersecurity . |
| Approach: | This tutorial lays the foundation by explaining safety-aligned LLMs and concepts in cybersecurity. |
| Outcome: | The tutorial lays the foundation by explaining safety-aligned models and concepts in cybersecurity. |