3 papers
cs.CR2026
Breaking the Assumptions: Auditing Input-Side Jailbreak Defenses Against Semantic Attacks
Aaditya Pratap, Harsh Kasyap, Somanath Tripathy
Locally deployed Large Language Models (LLMs) via inference engines such as Ollama run without the moderation and abuse detection present in API-served models. Therefore, the safet…
cs.CR2026
Analysis of LLMs Against Prompt Injection and Jailbreak Attacks
Piyush Jaiswal, Aaditya Pratap, Shreyansh Saraswati +2
Large Language Models (LLMs) are widely deployed in real-world systems. Given their broader applicability, prompt engineering has become an efficient tool for resource-scarce organ…
cs.LG2025
Fairness-Constrained Optimization Attack in Federated Learning
Harsh Kasyap, Minghong Fang, Zhuqing Liu +2
Federated learning (FL) is a privacy-preserving machine learning technique that facilitates collaboration among participants across demographics. FL enables model sharing, while re…