Welcome!
I am a Ph.D. candidate in the Computer Science Department at University of Wisconsin-Madison where I am fortunate to be advised by Prof. Somesh Jha. I am interested in understanding the limitations of modern machine learning from security and robustness perspectives, and making the practice of machine learning to be more explainable and more trustworthy in real-world.
Address: 1210 W Dayton St, Madison, WI 53706
Email: <firstname> AT cs DOT wisc DOT edu
CV: [Download CV]
Publications
Adaptive Concept Bottleneck for Foundation Models
Jihye Choi, Jayaram Raghuram, Yixuan Li, Suman Banerjee, Somesh Jha
ICML 2024 Workshop on Foundation Models in the Wild
[PDF] [BibTeX]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
[PDF] [BibTeX]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
ACL 2024
[PDF] [BibTeX]RoFL-C3: Robust Federated Learning via Secure Cross-Client Checks
Jihye Choi, Rahul Rachuri, Ke Wang, Somesh Jha, Yizhen Wang
Under Submission
[PDF] [BibTeX]Identifying and Mitigating the Security Risks of Generative AI
Clark 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 Mitchell, Zulfikar Ramzan, Khawaja Shams,
Dawn Song, Ankur Taly, Diyi Yang
Foundations and Trends in Privacy and Security, Vol. 6: No. 1, pp 1-52
[PDF] [Workshop]Rethinking Diversity in Deep Neural Network Testing
Zi Wang, Jihye Choi, Ke Wang, Somesh Jha
arXiv
[PDF] [BibTeX]Why Train More? Effective and Efficient Membership Inference via Memorization
Jihye Choi, Varun Chandrasekaran, Shruti Tople, Somesh Jha
arXiv
[PDF] [BibTeX]Concept-based Explanations for Out-Of-Distribution Detectors
Jihye Choi, Jayaram Raghuram, Ryan Feng, Jiefeng Chen, Somesh Jha, Atul Prakash
ICML 2023
[PDF] [BibTeX]Stratified Adversarial Robustness with Rejection
Jiefeng Chen*, Jayaram Raghuram*, Jihye Choi, Xi Wu, Yingyu Liang, and Somesh Jha
ICML 2023
[PDF] [BibTeX]Revisiting Adversarial Robustness of Classifiers With a Reject Option
Jiefeng Chen*, Jayaram Raghuram*, Jihye Choi, Xi Wu, Yingyu Liang, Somesh Jha
AAAI Workshop on Adversarial Machine Learning and Beyond, 2022 (Oral Presentation and Best Paper Award)
[PDF] [BibTeX]Stochastic Doubly Robust Gradient
Kanghoon Lee*, Jihye Choi*, Moonsu Cha, Jung-Kwon Lee and Taeyoon Kim
arXiv, 2018
[PDF] [BibTeX]Data-driven Approach to Aesthetic Enhancement
Jihye Choi, Sungjoon Koh, Jongwoo Kwack, Yonghun Kwon and Hyunjung Shim
SPIE Electronic Imaging 2016
[PDF] [BibTeX]
Selected Reports
Towards Causal Interpretation on Datacenter-scale Stragglers, Fall 2020
[PDF]Computational Hardness in Robust Learning, Spring 2020
[PDF]Concept-Based Explanations for Tabular Data, Spring 2020
[PDF]
Work Experience
Visa Research, Summer 2023
PhD Intern (mentors: Dr. Ke Wang, Dr. Yizhen Wang and Dr. Rahul Rachuri)University of Wisconsin-Madison, May 2020 - Present
Research Assistant with Prof. Somesh JhaVisa Research, Summer 2022
PhD Intern (mentors: Dr. Ke Wang and Dr. Yizhen Wang)Carnegie Mellon University, May 2017 - Mar 2019
Research Assistant at CyLab with Prof. Lujo BauerT-Brain, SK Telecom, Apr 2018 - Sep 2018
Research InternYonsei University, Mar 2015 - Aug 2016
Research Intern at Vision and Learning Lab. with Prof. Hyunjung Shim
Teaching Experience
CS 435 Intro to Cryptography, UW-Madison
Teaching Assistant with Prof. Somesh Jha | Fall 2021, Fall 2020, Spring 2020CS 412 Numerical Analysis, UW-Madison
Teaching Assistant with Prof. Amos Ron | Fall 201918-290 Signals and Systems, CMU
Teaching Assistant with Prof. Aswin C Sankaranarayanan and Prof. Richard Stern | Spring 2017