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Nikhil Kandpal
Nikhil Kandpal
Computer Science Ph.D. Candidate, University of Toronto
Verified email at cs.toronto.edu - Homepage
Title
Cited by
Cited by
Year
Universal adversarial triggers for attacking and analyzing NLP
E Wallace, S Feng, N Kandpal, M Gardner, S Singh
arXiv preprint arXiv:1908.07125, 2019
7442019
Large language models struggle to learn long-tail knowledge
N Kandpal, H Deng, A Roberts, E Wallace, C Raffel
International Conference on Machine Learning, 15696-15707, 2023
1732023
Deduplicating training data mitigates privacy risks in language models
N Kandpal, E Wallace, C Raffel
International Conference on Machine Learning, 10697-10707, 2022
1472022
Backdoor attacks for in-context learning with language models
N Kandpal, M Jagielski, F Tramèr, N Carlini
arXiv preprint arXiv:2307.14692, 2023
312023
Music enhancement via image translation and vocoding
N Kandpal, O Nieto, Z Jin
ICASSP 2022-2022 IEEE International Conference on Acoustics, Speech and …, 2022
132022
User inference attacks on large language models
N Kandpal, K Pillutla, A Oprea, P Kairouz, CA Choquette-Choo, Z Xu
arXiv preprint arXiv:2310.09266, 2023
52023
Git-theta: A git extension for collaborative development of machine learning models
N Kandpal, B Lester, M Muqeeth, A Mascarenhas, M Evans, V Baskaran, ...
International Conference on Machine Learning, 15708-15719, 2023
52023
User Inference Attacks on LLMs
N Kandpal, K Pillutla, A Oprea, P Kairouz, C Choquette-Choo, Z Xu
Socially Responsible Language Modelling Research, 2023
2023
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