Aidong Adam Ding

26 papers A* 4A 3C 1Journal 13Unranked 5

Year	Rank	Type	Title / Venue / Authors
2025	—	`conf`	AccessShadow: Leveraging Adversarial Samples to Counter Deep Learning-Assisted Cache Timing Attacks. HOST Xiang Zhang, Ziyue Zhang, Aidong Adam Ding, Yunsi Fei
2025	A	`conf`	EXAM: Exploiting Exclusive System-Level Cache in Apple M-Series SoCs for Enhanced Cache Occupancy Attacks. AsiaCCS Tianhong Xu, Aidong Adam Ding, Yunsi Fei
2025	J	`jnl`	EXAM: Exploiting Exclusive System-Level Cache in Apple M-Series SoCs for Enhanced Cache Occupancy Attacks. CoRR Tianhong Xu, Aidong Adam Ding, Yunsi Fei
2025	A*	`conf`	Graph in the Vault: Protecting Edge GNN Inference with Trusted Execution Environment. DAC Ruyi Ding, Tianhong Xu, Aidong Adam Ding, Yunsi Fei
2025	J	`jnl`	Graph in the Vault: Protecting Edge GNN Inference with Trusted Execution Environment. CoRR Ruyi Ding, Tianhong Xu, Aidong Adam Ding, Yunsi Fei
2025	—	`conf`	MACPruning: Dynamic Operation Pruning to Mitigate Side-Channel DNN Model Extraction. HOST Ruyi Ding, Cheng Gongye, Davis Ranney, Aidong Adam Ding, Yunsi Fei
2025	J	`jnl`	MACPruning: Dynamic Operation Pruning to Mitigate Side-Channel DNN Model Extraction. CoRR Ruyi Ding, Cheng Gongye, Davis Ranney, Aidong Adam Ding, Yunsi Fei
2025	A*	`conf`	MoEcho: Exploiting Side-Channel Attacks to Compromise User Privacy in Mixture-of-Experts LLMs. CCS Ruyi Ding, Tianhong Xu, Xinyi Shen, Aidong Adam Ding, Yunsi Fei
2025	J	`jnl`	MoEcho: Exploiting Side-Channel Attacks to Compromise User Privacy in Mixture-of-Experts LLMs. CoRR Ruyi Ding, Tianhong Xu, Xinyi Shen, Aidong Adam Ding, Yunsi Fei
2025	A*	`conf`	Probe-Me-Not: Protecting Pre-trained Encoders from Malicious Probing. NDSS Ruyi Ding, Tong Zhou, Lili Su, Aidong Adam Ding, Xiaolin Xu, Yunsi Fei
2024	A*	`conf`	GraphCroc: Cross-Correlation Autoencoder for Graph Structural Reconstruction. NeurIPS Shijin Duan, Ruyi Ding, Jiaxing He, Aidong Adam Ding, Yunsi Fei, Xiaolin Xu
2024	J	`jnl`	GraphCroc: Cross-Correlation Autoencoder for Graph Structural Reconstruction. CoRR Shijin Duan, Ruyi Ding, Jiaxing He, Aidong Adam Ding, Yunsi Fei, Xiaolin Xu
2024	—	`conf`	Non-transferable Pruning. ECCV (86) Ruyi Ding, Lili Su, Aidong Adam Ding, Yunsi Fei
2024	J	`jnl`	Non-transferable Pruning. CoRR Ruyi Ding, Lili Su, Aidong Adam Ding, Yunsi Fei
2024	J	`jnl`	Probe-Me-Not: Protecting Pre-trained Encoders from Malicious Probing. CoRR Ruyi Ding, Tong Zhou, Lili Su, Aidong Adam Ding, Xiaolin Xu, Yunsi Fei
2024	—	`conf`	TrustZoneTunnel: A Cross-World Pattern History Table-Based Microarchitectural Side-Channel Attack. HOST Tianhong Xu, Aidong Adam Ding, Yunsi Fei
2023	A	`conf`	Deep-Learning Model Extraction Through Software-Based Power Side-Channel. ICCAD Xiang Zhang, Aidong Adam Ding, Yunsi Fei
2023	J	`jnl`	EMShepherd: Detecting Adversarial Samples via Side-channel Leakage. CoRR Ruyi Ding, Cheng Gongye, Siyue Wang, Aidong Adam Ding, Yunsi Fei
2022	A	`conf`	A Cross-Platform Cache Timing Attack Framework via Deep Learning. DATE Ruyi Ding, Ziyue Zhang, Xiang Zhang, Cheng Gongye, Yunsi Fei, Aidong Adam Ding
2022	—	`conf`	Ran$Net: An Anti-Ransomware Methodology based on Cache Monitoring and Deep Learning. ACM Great Lakes Symposium on VLSI Xiang Zhang, Ziyue Zhang, Ruyi Ding, Cheng Gongye, Aidong Adam Ding, Yunsi Fei
2020	J	`jnl`	MemPoline: Mitigating Memory-based Side-Channel Attacks through Memory Access Obfuscation. IACR Cryptol. ePrint Arch. Zhen Hang Jiang, Yunsi Fei, Aidong Adam Ding, Thomas Wahl
2020	J	`jnl`	On the Privacy and Utility Properties of Triple Matrix-Masking. J. Priv. Confidentiality Aidong Adam Ding, Guanhong Miao, Samuel Shangwu Wu
2019	J	`jnl`	Comprehensive Side-Channel Power Analysis of XTS-AES. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. Chao Luo, Yunsi Fei, Aidong Adam Ding, Pau Closas
2017	C	`conf`	Rate Optimal Estimation for High Dimensional Spatial Covariance Matrices. ACML Yi Li, Aidong Adam Ding, Jennifer G. Dy
2003	J	`jnl`	Backpropagation of pseudo-errors: neural networks that are adaptive to heterogeneous noise. IEEE Trans. Neural Networks Aidong Adam Ding, Xiali He
1999	J	`jnl`	Neural-network prediction with noisy predictors. IEEE Trans. Neural Networks Aidong Adam Ding