Jihye Choi

23 papers A* 3Journal 16Unranked 4
YearRankTypeTitle / Venue / Authors
2026 J jnl
Policy Compiler for Secure Agentic Systems.
CoRR
Nils Palumbo, Sarthak Choudhary, Jihye Choi, Prasad Chalasani, Somesh Jha
2025 J jnl
A PUF-Based Lightweight Authentication Scheme for UAV-Assisted Internet of Vehicles.
IEEE Trans. Intell. Transp. Syst.
Jihye Choi, Deok Kyu Kwon, Seunghwan Son, YoHan Park, Ashok Kumar Das, Youngho Park
2025 J jnl
ATLAS: Constraints-Aware Multi-Agent Collaboration for Real-World Travel Planning.
CoRR
Jihye Choi, Jinsung Yoon, Jiefeng Chen, Somesh Jha, Tomas Pfister
2025 A* conf
CONDA: Adaptive Concept Bottleneck for Foundation Models Under Distribution Shifts.
ICLR
Jihye Choi, Jayaram Raghuram, Yixuan Li, Somesh Jha
2025 — conf
MAP: Multi-user Personalization with Collaborative LLM-powered Agents.
CHI Extended Abstracts
Christine P. Lee, Jihye Choi, Bilge Mutlu
2025 J jnl
MAP: Multi-user Personalization with Collaborative LLM-powered Agents.
CoRR
Christine P. Lee, Jihye Choi, Bilge Mutlu
2025 J jnl
SLVR: Securely Leveraging Client Validation for Robust Federated Learning.
CoRR
Jihye Choi, Sai Rahul Rachuri, Ke Wang, Somesh Jha, Yizhen Wang
2024 J jnl
Adaptive Concept Bottleneck for Foundation Models Under Distribution Shifts.
CoRR
Jihye Choi, Jayaram Raghuram, Yixuan Li, Somesh Jha
2024 — conf
MALADE: Orchestration of LLM-powered Agents with Retrieval Augmented Generation for Pharmacovigilance.
MLHC
Jihye Choi, Nils Palumbo, Prasad Chalasani, Matthew M. Engelhard, Somesh Jha, Anivarya Kumar, David Page
2024 J jnl
MALADE: Orchestration of LLM-powered Agents with Retrieval Augmented Generation for Pharmacovigilance.
CoRR
Jihye Choi, Nils Palumbo, Prasad Chalasani, Matthew M. Engelhard, Somesh Jha, Anivarya Kumar, David Page
2024 — conf
PRP: Propagating Universal Perturbations to Attack Large Language Model Guard-Rails.
ACL (1)
Neal Mangaokar, Ashish Hooda, Jihye Choi, Shreyas Chandrashekaran, Kassem Fawaz, Somesh Jha, Atul Prakash
2024 J jnl
PRP: Propagating Universal Perturbations to Attack Large Language Model Guard-Rails.
CoRR
Neal Mangaokar, Ashish Hooda, Jihye Choi, Shreyas Chandrashekaran, Kassem Fawaz, Somesh Jha, Atul Prakash
2023 A* conf
Concept-based Explanations for Out-of-Distribution Detectors.
ICML
Jihye Choi, Jayaram Raghuram, Ryan Feng, Jiefeng Chen, Somesh Jha, Atul Prakash
2023 J jnl
Identifying and Mitigating the Security Risks of Generative AI.
CoRR
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
2023 J jnl
Identifying and Mitigating the Security Risks of Generative AI.
Found. Trends Priv. Secur.
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
2023 J jnl
Rethink Diversity in Deep Learning Testing.
CoRR
Zi Wang, Jihye Choi, Somesh Jha
2023 A* conf
Stratified Adversarial Robustness with Rejection.
ICML
Jiefeng Chen, Jayaram Raghuram, Jihye Choi, Xi Wu, Yingyu Liang, Somesh Jha
2023 J jnl
Stratified Adversarial Robustness with Rejection.
CoRR
Jiefeng Chen, Jayaram Raghuram, Jihye Choi, Xi Wu, Yingyu Liang, Somesh Jha
2023 J jnl
Why Train More? Effective and Efficient Membership Inference via Memorization.
CoRR
Jihye Choi, Shruti Tople, Varun Chandrasekaran, Somesh Jha
2022 J jnl
Concept-Based Explanations for Tabular Data.
CoRR
Varsha Pendyala, Jihye Choi
2022 J jnl
Concept-based Explanations for Out-Of-Distribution Detectors.
CoRR
Jihye Choi, Jayaram Raghuram, Ryan Feng, Jiefeng Chen, Somesh Jha, Atul Prakash
2018 J jnl
Stochastic Doubly Robust Gradient.
CoRR
Kanghoon Lee, Jihye Choi, Moonsu Cha, Jung Kwon Lee, Taeyoon Kim
2016 — conf
Data-driven Approach to Aesthetic Enhancement.
Image Processing: Machine Vision Applications
Jihye Choi, Sungjoon Koh, Jong Woo Kwack, Yonghun Kwon, Hyunjung Shim