Hamm, Jihun

24 publications

TMLR 2026 Prompt-Based Adaptation in Large-Scale Vision Models: A Survey Xi Xiao, Yunbei Zhang, Lin Zhao, Yiyang Liu, Xiaoying Liao, Zheda Mai, Xingjian Li, Xiao Wang, Hao Xu, Jihun Hamm, Xue Lin, Min Xu, Qifan Wang, Tianyang Wang, Cheng Han

ICML 2025 DPCore: Dynamic Prompt Coreset for Continual Test-Time Adaptation Yunbei Zhang, Akshay Mehra, Shuaicheng Niu, Jihun Hamm

NeurIPS 2025 Doctor Approved: Generating Medically Accurate Skin Disease Images Through AI-Expert Feedback Janet Wang, Yunbei Zhang, Zhengming Ding, Jihun Hamm

WACV 2025 Enhancing Skin Disease Diagnosis: Interpretable Visual Concept Discovery with SAM Xin Hu, Janet Wang, Jihun Hamm, Rie R Yotsu, Zhengming Ding

WACV 2025 OT-VP: Optimal Transport-Guided Visual Prompting for Test-Time Adaptation Yunbei Zhang, Akshay Mehra, Jihun Hamm

CVPRW 2024 Achieving Reliable and Fair Skin Lesion Diagnosis via Unsupervised Domain Adaptation Janet Wang, Yunbei Zhang, Zhengming Ding, Jihun Hamm

WACV 2024 On the Fly Neural Style Smoothing for Risk-Averse Domain Generalization Akshay Mehra, Yunbei Zhang, Bhavya Kailkhura, Jihun Hamm

CVPRW 2024 Test-Time Assessment of a Model's Performance on Unseen Domains via Optimal Transport Akshay Mehra, Yunbei Zhang, Jihun Hamm

NeurIPS 2024 Understanding the Transferability of Representations via Task-Relatedness Akshay Mehra, Yunbei Zhang, Jihun Hamm

NeurIPSW 2023 Analysis of Task Transferability in Large Pre-Trained Classifiers Akshay Mehra, Yunbei Zhang, Jihun Hamm

ICMLW 2023 Risk-Averse Predictions on Unseen Domains via Neural Style Smoothing Akshay Mehra, Yunbei Zhang, Bhavya Kailkhura, Jihun Hamm

ECCV 2022 A Spectral View of Randomized Smoothing Under Common Corruptions: Benchmarking and Improving Certified Robustness Jiachen Sun, Akshay Mehra, Bhavya Kailkhura, Pin-Yu Chen, Dan Hendrycks, Jihun Hamm, Z. Morley Mao

NeurIPSW 2022 Do Domain Generalization Methods Generalize Well? Akshay Mehra, Bhavya Kailkhura, Pin-Yu Chen, Jihun Hamm

IJCAI 2022 Online Evasion Attacks on Recurrent Models: The Power of Hallucinating the Future Byunggill Joe, Insik Shin, Jihun Hamm

CVPR 2021 How Robust Are Randomized Smoothing Based Defenses to Data Poisoning? Akshay Mehra, Bhavya Kailkhura, Pin-Yu Chen, Jihun Hamm

ICMLW 2021 On the Effectiveness of Poisoning Against Unsupervised Domain Adaptation Akshay Mehra, Bhavya Kailkhura, Pin-Yu Chen, Jihun Hamm

ACML 2021 Penalty Method for Inversion-Free Deep Bilevel Optimization Akshay Mehra, Jihun Hamm

NeurIPS 2021 Understanding the Limits of Unsupervised Domain Adaptation via Data Poisoning Akshay Mehra, Bhavya Kailkhura, Pin-Yu Chen, Jihun Hamm

ICML 2018 K-Beam Minimax: Efficient Optimization for Deep Adversarial Learning Jihun Hamm, Yung-Kyun Noh

JMLR 2017 Minimax Filter: Learning to Preserve Privacy from Inference Attacks Jihun Hamm

ICML 2016 Learning Privately from Multiparty Data Jihun Hamm, Yingjun Cao, Mikhail Belkin

AISTATS 2015 Preserving Privacy of Continuous High-Dimensional Data with Minimax Filters Jihun Hamm

WACV 2015 Qualitative Tracking Performance Evaluation Without Ground-Truth Bohyung Han, Jihun Hamm

NeurIPS 2008 Extended Grassmann Kernels for Subspace-Based Learning Jihun Hamm, Daniel D. Lee