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ORCIDGanghua Wang
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2020 – today
- 2024
[c4]Ganghua Wang, Xun Xian, Ashish Kundu, Jayanth Srinivasa, Xuan Bi, Mingyi Hong, Jie Ding:
Demystifying Poisoning Backdoor Attacks from a Statistical Perspective. ICLR 2024- [i9]Xun Xian, Ganghua Wang, Xuan Bi, Jayanth Srinivasa, Ashish Kundu, Mingyi Hong, Jie Ding:
RAW: A Robust and Agile Plug-and-Play Watermark Framework for AI-Generated Images with Provable Guarantees. CoRR abs/2403.18774 (2024) - [i8]Jin Du, Xinhe Zhang, Hao Shen, Xun Xian, Ganghua Wang, Jiawei Zhang, Yuhong Yang, Na Li, Jia Liu, Jie Ding:
Drift to Remember. CoRR abs/2409.13997 (2024) - [i7]Xun Xian, Ganghua Wang, Xuan Bi, Jayanth Srinivasa, Ashish Kundu, Charles Fleming, Mingyi Hong, Jie Ding:
On the Vulnerability of Applying Retrieval-Augmented Generation within Knowledge-Intensive Application Domains. CoRR abs/2409.17275 (2024) - 2023
- [j2]Gen Li, Ganghua Wang
, Jie Ding:
Provable Identifiability of Two-Layer ReLU Neural Networks via LASSO Regularization. IEEE Trans. Inf. Theory 69(9): 5921-5935 (2023) - [c3]Enmao Diao, Ganghua Wang, Jiawei Zhang, Yuhong Yang, Jie Ding, Vahid Tarokh:
Pruning Deep Neural Networks from a Sparsity Perspective. ICLR 2023 - [c2]Xun Xian, Ganghua Wang, Jayanth Srinivasa, Ashish Kundu, Xuan Bi, Mingyi Hong, Jie Ding:
Understanding Backdoor Attacks through the Adaptability Hypothesis. ICML 2023: 37952-37976 - [c1]Xun Xian, Ganghua Wang, Jayanth Srinivasa, Ashish Kundu, Xuan Bi, Mingyi Hong, Jie Ding:
A Unified Detection Framework for Inference-Stage Backdoor Defenses. NeurIPS 2023 - [i6]Enmao Diao, Ganghua Wang, Jiawei Zhang, Yuhong Yang, Jie Ding, Vahid Tarokh:
Pruning Deep Neural Networks from a Sparsity Perspective. CoRR abs/2302.05601 (2023) - [i5]Gen Li, Ganghua Wang, Jie Ding:
Provable Identifiability of Two-Layer ReLU Neural Networks via LASSO Regularization. CoRR abs/2305.04267 (2023) - [i4]Ganghua Wang, Ali Payani, Myungjin Lee, Ramana Kompella:
Mitigating Group Bias in Federated Learning: Beyond Local Fairness. CoRR abs/2305.09931 (2023) - [i3]Ganghua Wang, Xun Xian, Jayanth Srinivasa, Ashish Kundu, Xuan Bi, Mingyi Hong, Jie Ding:
Demystifying Poisoning Backdoor Attacks from a Statistical Perspective. CoRR abs/2310.10780 (2023) - 2022
- [i2]Wenjing Yang, Ganghua Wang, Enmao Diao, Vahid Tarokh, Jie Ding, Yuhong Yang:
A Theoretical Understanding of Neural Network Compression from Sparse Linear Approximation. CoRR abs/2206.05604 (2022) - 2021
- [i1]Ganghua Wang, Jie Ding:
Subset Privacy: Draw from an Obfuscated Urn. CoRR abs/2107.02013 (2021)
2010 – 2019
- 2017
- [j1]Jie Peng, Shi Shu, Haiyuan Yu, Chunsheng Feng, Mingxian Kan, Ganghua Wang:
Error estimates on a finite volume method for diffusion problems with interface on rectangular grids. Appl. Math. Comput. 311: 335-352 (2017)
Coauthor Index
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