1 citations · 1 across the 8 of their papers we have counts for
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Nearest Neighbor Projection Removal Adversarial Training
Himanshu Singh, A. V. Subramanyam, Shivank Rajput +1
Deep neural networks have exhibited impressive performance in image classification tasks but remain vulnerable to adversarial examples. Standard adversarial training enhances robus…
Reasoning LLMs are Wandering Solution Explorers
Jiahao Lu, Ziwei Xu, Mohan Kankanhalli
Large Language Models (LLMs) have demonstrated impressive reasoning abilities through test-time computation (TTC) techniques such as chain-of-thought prompting and tree-based reaso…
Bullying the Machine: How Personas Increase LLM Vulnerability
Ziwei Xu, Udit Sanghi, Mohan Kankanhalli
Large Language Models (LLMs) are increasingly deployed in interactions where they are prompted to adopt personas. This paper investigates whether such persona conditioning affects…
Privacy Risks and Preservation Methods in Explainable Artificial Intelligence: A Scoping Review
Sonal Allana, Mohan Kankanhalli, Rozita Dara
Explainable Artificial Intelligence (XAI) has emerged as a pillar of Trustworthy AI and aims to bring transparency in complex models that are opaque by nature. Despite the benefits…