关注
Jihye Choi
标题
引用次数
引用次数
年份
Identifying and mitigating the security risks of generative ai
C Barrett, B Boyd, E Bursztein, N Carlini, B Chen, J Choi, AR Chowdhury, ...
Foundations and Trends® in Privacy and Security 6 (1), 1-52, 2023
552023
Prp: Propagating universal perturbations to attack large language model guard-rails
N Mangaokar, A Hooda, J Choi, S Chandrashekaran, K Fawaz, S Jha, ...
arXiv preprint arXiv:2402.15911, 2024
162024
Revisiting adversarial robustness of classifiers with a reject option
J Chen, J Raghuram, J Choi, X Wu, Y Liang, S Jha
The AAAI-22 Workshop on Adversarial Machine Learning and Beyond, 2022
122022
Concept-based explanations for out-of-distribution detectors
J Choi, J Raghuram, R Feng, J Chen, S Jha, A Prakash
International Conference on Machine Learning, 5817-5837, 2023
92023
Why train more? effective and efficient membership inference via memorization
J Choi, S Tople, V Chandrasekaran, S Jha
arXiv preprint arXiv:2310.08015, 2023
2*2023
Stratified adversarial robustness with rejection
J Chen, J Raghuram, J Choi, X Wu, Y Liang, S Jha
International conference on machine learning, 4867-4894, 2023
22023
Concept-based explanations for tabular data
V Pendyala, J Choi
arXiv preprint arXiv:2209.05690, 2022
22022
Data-driven approach to aesthetic enhancement
J Choi, S Koh, J Kwack, Y Kwon, H Shim
Electronic Imaging 28, 1-5, 2016
12016
MALADE: Orchestration of LLM-powered Agents with Retrieval Augmented Generation for Pharmacovigilance
J Choi, N Palumbo, P Chalasani, MM Engelhard, S Jha, A Kumar, D Page
arXiv preprint arXiv:2408.01869, 2024
2024
Adaptive Concept Bottleneck for Foundation Models
J Choi, J Raghuram, Y Li, S Banerjee, S Jha
ICML 2024 Workshop on Foundation Models in the Wild, 2024
2024
Rethinking Diversity in Deep Neural Network Testing
Z Wang, J Choi, K Wang, S Jha
arXiv preprint arXiv:2305.15698, 2023
2023
Stochastic Doubly Robust Gradient
K Lee, J Choi, M Cha, JK Lee, T Kim
arXiv preprint arXiv:1812.08997, 2018
2018
系统目前无法执行此操作,请稍后再试。
文章 1–12