Jihye Choi

Publication Activity (10 Years)

Years Active: 2016-2024
Publications (10 Years): 13

Top Topics

Aesthetically Pleasing

Gaussian Distribution

Top Venues

Image Processing: Machine Vision Applications

Publications

Neal Mangaokar, Ashish Hooda, Jihye Choi, Shreyas Chandrashekaran, Kassem Fawaz, Somesh Jha, Atul Prakash
PRP: Propagating Universal Perturbations to Attack Large Language Model Guard-Rails. CoRR (2024)
Neal Mangaokar, Ashish Hooda, Jihye Choi, Shreyas Chandrashekaran, Kassem Fawaz, Somesh Jha, Atul Prakash
PRP: Propagating Universal Perturbations to Attack Large Language Model Guard-Rails. ACL (1) (2024)
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
Identifying and Mitigating the Security Risks of Generative AI. CoRR (2023)
Zi Wang, Jihye Choi, Somesh Jha
Rethink Diversity in Deep Learning Testing. CoRR (2023)
Jiefeng Chen, Jayaram Raghuram, Jihye Choi, Xi Wu, Yingyu Liang, Somesh Jha
Stratified Adversarial Robustness with Rejection. CoRR (2023)
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
Identifying and Mitigating the Security Risks of Generative AI. Found. Trends Priv. Secur. 6 (1) (2023)
Jihye Choi, Shruti Tople, Varun Chandrasekaran, Somesh Jha
Why Train More? Effective and Efficient Membership Inference via Memorization. CoRR (2023)
Jihye Choi, Jayaram Raghuram, Ryan Feng, Jiefeng Chen, Somesh Jha, Atul Prakash
Concept-based Explanations for Out-of-Distribution Detectors. ICML (2023)
Jiefeng Chen, Jayaram Raghuram, Jihye Choi, Xi Wu, Yingyu Liang, Somesh Jha
Stratified Adversarial Robustness with Rejection. ICML (2023)
Jihye Choi, Jayaram Raghuram, Ryan Feng, Jiefeng Chen, Somesh Jha, Atul Prakash
Concept-based Explanations for Out-Of-Distribution Detectors. CoRR (2022)
Varsha Pendyala, Jihye Choi
Concept-Based Explanations for Tabular Data. CoRR (2022)
Kanghoon Lee, Jihye Choi, Moonsu Cha, Jung Kwon Lee, Taeyoon Kim
Stochastic Doubly Robust Gradient. CoRR (2018)
Jihye Choi, Sungjoon Koh, Jong Woo Kwack, Yonghun Kwon, Hyunjung Shim
Data-driven Approach to Aesthetic Enhancement. Image Processing: Machine Vision Applications (2016)