No Video Left Behind: A Utility-Preserving Obfuscation Approach for YouTube Recommendations. - Jiang Zhang; Hadi Askari; Konstantinos Psounis; Zubair Shafiq (CoRR, 2022)

A Utility-Preserving Obfuscation Approach for YouTube Recommendations. - Jiang Zhang; Hadi Askari; Konstantinos Psounis; Zubair Shafiq (Proc. Priv. Enhancing Technol., 2023)

Revisiting Zero-Shot Abstractive Summarization in the Era of Large Language Models from the Perspective of Position Bias. - Anshuman Chhabra; Hadi Askari; Prasant Mohapatra (NAACL (Short Papers), 2024)

Incentivizing News Consumption on Social Media Platforms Using Large Language Models and Realistic Bot Accounts. - Hadi Askari; Anshuman Chhabra; Bernhard Clemm von Hohenberg; Michael Heseltine; Magdalena Wojcieszak (CoRR, 2024)

Assessing LLMs for Zero-shot Abstractive Summarization Through the Lens of Relevance Paraphrasing. - Hadi Askari; Anshuman Chhabra; Muhao Chen 001; Prasant Mohapatra (NAACL (Findings), 2025)

Test-time Backdoor Mitigation for Black-Box Large Language Models with Defensive Demonstrations. - Wenjie Jacky Mo; Jiashu Xu; Qin Liu 010; Jiongxiao Wang; Jun Yan 012; Hadi Askari; Chaowei Xiao; Muhao Chen 001 (NAACL (Findings), 2025)

Unraveling Indirect In-Context Learning Using Influence Functions. - Hadi Askari; Shivanshu Gupta; Terry Tong; Fei Wang 060; Anshuman Chhabra; Muhao Chen 001 (CoRR, 2025)

LayerIF: Estimating Layer Quality for Large Language Models using Influence Functions. - Hadi Askari; Shivanshu Gupta; Fei Wang 060; Anshuman Chhabra; Muhao Chen 001 (CoRR, 2025)

RedCoder: Automated Multi-Turn Red Teaming for Code LLMs. - Wenjie Jacky Mo; Qin Liu 010; Xiaofei Wen; Dongwon Jung; Hadi Askari; Wenxuan Zhou; Zhe Zhao; Muhao Chen 001 (CoRR, 2025)