Data-driven Approach to Aesthetic Enhancement. - Jihye Choi; Sungjoon Koh; Jong Woo Kwack; Yonghun Kwon; Hyunjung Shim (Image Processing: Machine Vision Applications, 2016)

Stochastic Doubly Robust Gradient. - Kanghoon Lee; Jihye Choi; Moonsu Cha; Jung Kwon Lee; Taeyoon Kim (CoRR, 2018)

Concept-Based Explanations for Tabular Data. - Varsha Pendyala; Jihye Choi (CoRR, 2022)

Stratified Adversarial Robustness with Rejection. - Jiefeng Chen 001; Jayaram Raghuram; Jihye Choi; Xi Wu 001; Yingyu Liang; Somesh Jha (ICML, 2023)

Concept-based Explanations for Out-of-Distribution Detectors. - Jihye Choi; Jayaram Raghuram; Ryan Feng; Jiefeng Chen 001; Somesh Jha; Atul Prakash 001 (ICML, 2023)

Rethink Diversity in Deep Learning Testing. - Zi Wang; Jihye Choi; 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 001; Mihai Christodorescu; Anupam Datta; Soheil Feizi; Kathleen Fisher; Tatsunori Hashimoto; et al. (CoRR, 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; Elie Bursztein; Nicholas Carlini; Brad Chen; Jihye Choi; Amrita Roy Chowdhury 001; Mihai Christodorescu; Anupam Datta; Soheil Feizi; Kathleen Fisher; Tatsunori Hashimoto; et al. (Found. Trends Priv. Secur., 2023)

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 001 (ACL (1), 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 (MLHC, 2024)

Adaptive Concept Bottleneck for Foundation Models Under Distribution Shifts. - Jihye Choi; Jayaram Raghuram; Yixuan Li 001; Somesh Jha (CoRR, 2024)

MAP: Multi-user Personalization with Collaborative LLM-powered Agents. - Christine P. Lee; Jihye Choi; Bilge Mutlu (CHI Extended Abstracts, 2025)

CONDA: Adaptive Concept Bottleneck for Foundation Models Under Distribution Shifts. - Jihye Choi; Jayaram Raghuram; Yixuan Li 001; Somesh Jha (ICLR, 2025)

SLVR: Securely Leveraging Client Validation for Robust Federated Learning. - Jihye Choi; Sai Rahul Rachuri; Ke Wang; Somesh Jha; Yizhen Wang (CoRR, 2025)