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cs.LG2025
Accelerated Smoothing: A Scalable Approach to Randomized Smoothing
Devansh Bhardwaj, Kshitiz Kaushik, Sarthak Gupta
Randomized smoothing has emerged as a potent certifiable defense against adversarial attacks by employing smoothing noises from specific distributions to ensure the robustness of a…
cs.LG2025
Invisible Traces: Using Hybrid Fingerprinting to identify underlying LLMs in GenAI Apps
Devansh Bhardwaj, Naman Mishra
Fingerprinting refers to the process of identifying underlying Machine Learning (ML) models of AI Systemts, such as Large Language Models (LLMs), by analyzing their unique characte…
cs.LG2024
Rethinking Randomized Smoothing from the Perspective of Scalability
Anupriya Kumari, Devansh Bhardwaj, Sukrit Jindal
Machine learning models have demonstrated remarkable success across diverse domains but remain vulnerable to adversarial attacks. Empirical defense mechanisms often fail, as new at…