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 | 55 | 2023 |
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 | 16 | 2024 |
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 | 12 | 2022 |
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 | 9 | 2023 |
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 | 2 | 2023 |
Concept-based explanations for tabular data V Pendyala, J Choi arXiv preprint arXiv:2209.05690, 2022 | 2 | 2022 |
Data-driven approach to aesthetic enhancement J Choi, S Koh, J Kwack, Y Kwon, H Shim Electronic Imaging 28, 1-5, 2016 | 1 | 2016 |
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 |