Search Results for author: Nishad Singhi

Found 2 papers, 1 papers with code

CleanCLIP: Mitigating Data Poisoning Attacks in Multimodal Contrastive Learning

1 code implementation ICCV 2023 Hritik Bansal, Nishad Singhi, Yu Yang, Fan Yin, Aditya Grover, Kai-Wei Chang

Multimodal contrastive pretraining has been used to train multimodal representation models, such as CLIP, on large amounts of paired image-text data.

Backdoor Attack Contrastive Learning +1

Toward a normative theory of (self-)management by goal-setting

no code implementations6 Feb 2023 Nishad Singhi, Florian Mohnert, Ben Prystawski, Falk Lieder

This creates an untapped opportunity to derive practical recommendations for which subgoals managers and individuals should set from cognitive models of bounded rationality.

Management

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