Kompella, Ramana Rao

14 publications

TMLR 2026 MetaSeal: Defending Against Image Attribution Forgery Through Content-Dependent Cryptographic Watermarks Tong Zhou, Ruyi Ding, Gaowen Liu, Charles Fleming, Ramana Rao Kompella, Yunsi Fei, Xiaolin Xu, Shaolei Ren

ICML 2025 A First-Order Generative Bilevel Optimization Framework for Diffusion Models Quan Xiao, Hui Yuan, A F M Saif, Gaowen Liu, Ramana Rao Kompella, Mengdi Wang, Tianyi Chen

NeurIPS 2025 Orientation-Anchored Hyper-Gaussian for 4D Reconstruction from Casual Videos Junyi Wu, Jiachen Tao, Haoxuan Wang, Gaowen Liu, Ramana Rao Kompella, Yan Yan

ICLRW 2025 ProDiF: Protecting Domain-Invariant Features to Secure Pre-Trained Models Against Extraction Tong Zhou, Shijin Duan, Gaowen Liu, Charles Fleming, Ramana Rao Kompella, Shaolei Ren, Xiaolin Xu

CVPR 2025 Targeted Forgetting of Image Subgroups in CLIP Models Zeliang Zhang, Gaowen Liu, Charles Fleming, Ramana Rao Kompella, Chenliang Xu

CPAL 2025 Towards Vector Optimization on Low-Dimensional Vector Symbolic Architecture Shijin Duan, Yejia Liu, Gaowen Liu, Ramana Rao Kompella, Shaolei Ren, Xiaolin Xu

CVPR 2024 Efficient Multitask Dense Predictor via Binarization Yuzhang Shang, Dan Xu, Gaowen Liu, Ramana Rao Kompella, Yan Yan

CVPR 2024 Enhancing Post-Training Quantization Calibration Through Contrastive Learning Yuzhang Shang, Gaowen Liu, Ramana Rao Kompella, Yan Yan

NeurIPS 2024 From Trojan Horses to Castle Walls: Unveiling Bilateral Data Poisoning Effects in Diffusion Models Zhuoshi Pan, Yuguang Yao, Gaowen Liu, Bingquan Shen, H. Vicky Zhao, Ramana Rao Kompella, Sijia Liu

TMLR 2024 Mitigating Group Bias in Federated Learning: Beyond Local Fairness Ganghua Wang, Ali Payani, Myungjin Lee, Ramana Rao Kompella

NeurIPS 2024 Reversing the Forget-Retain Objectives: An Efficient LLM Unlearning Framework from Logit Difference Jiabao Ji, Yujian Liu, Yang Zhang, Gaowen Liu, Ramana Rao Kompella, Sijia Liu, Shiyu Chang

CVPR 2024 Riemannian Multinomial Logistics Regression for SPD Neural Networks Ziheng Chen, Yue Song, Gaowen Liu, Ramana Rao Kompella, Xiao-Jun Wu, Nicu Sebe

ICCV 2023 Causal-DFQ: Causality Guided Data-Free Network Quantization Yuzhang Shang, Bingxin Xu, Gaowen Liu, Ramana Rao Kompella, Yan Yan

NeurIPSW 2023 From Trojan Horses to Castle Walls: Unveiling Bilateral Backdoor Effects in Diffusion Models Zhuoshi Pan, Yuguang Yao, Gaowen Liu, Bingquan Shen, H. Vicky Zhao, Ramana Rao Kompella, Sijia Liu