Jihye Choi

According to our database, Jihye Choi authored at least 15 papers between 2016 and 2025.

Collaborative distances:

• Dijkstra number of three.
• Erdős number of four.

2025

SLVR: Securely Leveraging Client Validation for Robust Federated Learning.

Jihye Choi, Sai Rahul Rachuri, Ke Wang, Somesh Jha, Yizhen Wang

CoRR, February, 2025

CONDA: Adaptive Concept Bottleneck for Foundation Models Under Distribution Shifts.

Jihye Choi, Jayaram Raghuram, Yixuan Li, Somesh Jha

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

MAP: Multi-user Personalization with Collaborative LLM-powered Agents.

Christine P. Lee, Jihye Choi, Bilge Mutlu

Proceedings of the Extended Abstracts of the CHI Conference on Human Factors in Computing Systems, 2025

2024

Adaptive Concept Bottleneck for Foundation Models Under Distribution Shifts.

Jihye Choi, Jayaram Raghuram, Yixuan Li, Somesh Jha

CoRR, 2024

MALADE: Orchestration of LLM-powered Agents with Retrieval Augmented Generation for Pharmacovigilance.

Jihye Choi, Nils Palumbo, Prasad Chalasani, Matthew M. Engelhard, Somesh Jha, Anivarya Kumar, David Page

Proceedings of the Machine Learning for Healthcare Conference, 2024

PRP: Propagating Universal Perturbations to Attack Large Language Model Guard-Rails.

Neal Mangaokar, Ashish Hooda, Jihye Choi, Shreyas Chandrashekaran, Kassem Fawaz, Somesh Jha, Atul Prakash

Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

2023

Identifying and Mitigating the Security Risks of Generative AI.

Clark W. Barrett, Brad Boyd, Elie Bursztein, Nicholas Carlini, Brad Chen, Jihye Choi, Amrita Roy Chowdhury, Mihai Christodorescu, Anupam Datta, Soheil Feizi, Kathleen Fisher, Tatsunori Hashimoto, Dan Hendrycks, Somesh Jha, Daniel Kang, Florian Kerschbaum, Eric Mitchell, John C. Mitchell, Zulfikar Ramzan, Khawaja Shams, Dawn Song, Ankur Taly, Diyi Yang

Found. Trends Priv. Secur., 2023

Why Train More? Effective and Efficient Membership Inference via Memorization.

Jihye Choi, Shruti Tople, Varun Chandrasekaran, Somesh Jha

CoRR, 2023

Identifying and Mitigating the Security Risks of Generative AI.

Clark W. Barrett, Brad Boyd, Ellie Burzstein, Nicholas Carlini, Brad Chen, Jihye Choi, Amrita Roy Chowdhury, Mihai Christodorescu, Anupam Datta, Soheil Feizi, Kathleen Fisher, Tatsunori Hashimoto, Dan Hendrycks, Somesh Jha, Daniel Kang, Florian Kerschbaum, Eric Mitchell, John C. Mitchell, Zulfikar Ramzan, Khawaja Shams, Dawn Song, Ankur Taly, Diyi Yang

CoRR, 2023

Rethink Diversity in Deep Learning Testing.

Zi Wang, Jihye Choi, Somesh Jha

CoRR, 2023

Concept-based Explanations for Out-of-Distribution Detectors.

Jihye Choi, Jayaram Raghuram, Ryan Feng, Jiefeng Chen, Somesh Jha, Atul Prakash

Proceedings of the International Conference on Machine Learning, 2023

Stratified Adversarial Robustness with Rejection.

Jiefeng Chen, Jayaram Raghuram, Jihye Choi, Xi Wu, Yingyu Liang, Somesh Jha

Proceedings of the International Conference on Machine Learning, 2023

2022

Concept-Based Explanations for Tabular Data.

Varsha Pendyala, Jihye Choi

CoRR, 2022

2018

Stochastic Doubly Robust Gradient.

Kanghoon Lee, Jihye Choi, Moonsu Cha, Jung Kwon Lee, Taeyoon Kim

CoRR, 2018

2016

Data-driven Approach to Aesthetic Enhancement.

Jihye Choi, Sungjoon Koh, Jong Woo Kwack, Yonghun Kwon, Hyunjung Shim

Proceedings of the Image Processing: Machine Vision Applications IX, 2016