3 citations · 5 across the 19 of their papers we have counts for
4 papers · 1 filter
Memory as an Attack Surface in LLM Agents: A Study on Multiple-Choice Question Answering
Shahnewaz Karim Sakib, Anindya Bijoy Das
AI agents extend conventional large language model (LLM) applications by integrating language understanding with task execution, external tool use, and memory mechanisms. While mem…
Preventing Error Propagation in Multi-Agent AI through Runtime Monitoring
Shahnewaz Karim Sakib, Anindya Bijoy Das
Multi-agent AI systems can improve answer selection by allowing different language models to exchange reasoning traces, revise initial predictions, and support a final decision. Ho…
Adversarial Reframing: A Framework for Targeted Generation in Language Models
Shahnewaz Karim Sakib, Swati Kar, Anindya Bijoy Das
Large Language Models (LLMs) are widely deployed in diverse real-world settings, yet remain vulnerable to jailbreaking, where prompt-based attacks bypass safety filters. We present…
Classification of Single and Mixed Partial Discharges under Switching Voltage Using an AWA-CNN Framework
Md Rafid Kaysar Shagor, Zannatul Ferdousy Mouri, Farhina Haque +1
The growing use of fast-switching power electronics has made partial discharge (PD) analysis under switching-voltage excitation increasingly important, yet more challenging than un…