Vansh Gupta — accepted AI-conference papers

2026

Position: Anthropomorphic Misalignment Research Needs Stronger Evidence

Vansh Gupta, Peter Nutter, Samuel Stante, Andreas Krause, Florian Tramer, Lukas Fluri +2

ICML 2026oral

We argue that many Anthropomorphized Misalignment Research (AMR) studies need stronger evidence to ensure that they can provide a robust foundation for critical safety decisions, such as model deployment and regulation. By evaluating failure modes across different misalignment concepts, such as dece…

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2023

BITE: Textual Backdoor Attacks with Iterative Trigger Injection

Jun Yan, Vansh Gupta, Xiang Ren

ACL 2023long

Backdoor attacks have become an emerging threat to NLP systems. By providing poisoned training data, the adversary can embed a “backdoor” into the victim model, which allows input instances satisfying certain textual patterns (e.g., containing a keyword) to be predicted as a target label of the adve…

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