Neural-network prediction with noisy predictors. - Aidong Adam Ding (IEEE Trans. Neural Networks, 1999)

Backpropagation of pseudo-errors: neural networks that are adaptive to heterogeneous noise. - Aidong Adam Ding; Xiali He (IEEE Trans. Neural Networks, 2003)

A Statistical Model for DPA with Novel Algorithmic Confusion Analysis. - Yunsi Fei; Qiasi Luo; A. Adam Ding (CHES, 2012)

A Statistical Model for Higher Order DPA on Masked Devices. - A. Adam Ding; Liwei Zhang; Yunsi Fei; Pei Luo (IACR Cryptol. ePrint Arch., 2014)

A Statistics-based Fundamental Model for Side-channel Attack Analysis. - Yunsi Fei; A. Adam Ding; Jian Lao; Liwei Zhang (IACR Cryptol. ePrint Arch., 2014)

Power Analysis Attack on Hardware Implementation of MAC-Keccak on FPGAs. - Pei Luo; Yunsi Fei; Xin Fang 001; A. Adam Ding; Miriam Leeser; David R. Kaeli (IACR Cryptol. ePrint Arch., 2014)

Side-channel Power Analysis of Different Protection Schemes Against Fault Attacks on AES. - Pei Luo; Yunsi Fei; Liwei Zhang; A. Adam Ding (IACR Cryptol. ePrint Arch., 2014)

Efficient 2nd-order power analysis on masked devices utilizing multiple leakage. - Liwei Zhang; A. Adam Ding; Yunsi Fei; Pei Luo (HOST, 2015)

Simpler, Faster, and More Robust T-test Based Leakage Detection. - A. Adam Ding; Cong Chen 001; Thomas Eisenbarth 001 (IACR Cryptol. ePrint Arch., 2015)

Side-Channel Analysis of MAC-Keccak Hardware Implementations. - Pei Luo; Yunsi Fei; Xin Fang 001; A. Adam Ding; David R. Kaeli; Miriam Leeser (IACR Cryptol. ePrint Arch., 2015)

Towards Secure Cryptographic Software Implementation Against Side-Channel Power Analysis Attacks. - Pei Luo; Liwei Zhang; Yunsi Fei; A. Adam Ding (IACR Cryptol. ePrint Arch., 2015)

A statistics-based success rate model for DPA and CPA. - Yunsi Fei; A. Adam Ding; Jian Lao; Liwei Zhang (J. Cryptogr. Eng., 2015)

A Robust-Equitable Copula Dependence Measure for Feature Selection. - Yale Chang; Yi Li; A. Adam Ding; Jennifer G. Dy (AISTATS, 2016)

SMARP: A Stochastic MAC Protocol with Randomized Power Control for Underwater Sensor Networks. - Yu Han; Yunsi Fei; A. Adam Ding (SECON, 2016)

Differential Fault Analysis of SHA3-224 and SHA3-256. - Pei Luo; Yunsi Fei; Liwei Zhang; A. Adam Ding (IACR Cryptol. ePrint Arch., 2016)

An Improvement of Both Security and Reliability for Keccak Implementations on Smart Card. - Pei Luo; Liwei Zhang; Yunsi Fei; A. Adam Ding (IACR Cryptol. ePrint Arch., 2016)

Statistical Analysis for Access-Driven Cache Attacks Against AES. - Liwei Zhang; A. Adam Ding; Yunsi Fei; Zhen Hang Jiang (IACR Cryptol. ePrint Arch., 2016)

A Unified Metric for Quantifying Information Leakage of Cryptographic Devices under Power Analysis Attacks. - Liwei Zhang; A. Adam Ding; Yunsi Fei; Pei Luo (IACR Cryptol. ePrint Arch., 2016)

Rate Optimal Estimation for High Dimensional Spatial Covariance Matrices. - Yi Li; Aidong Adam Ding; Jennifer G. Dy (ACML, 2017)

Side-channel power analysis of XTS-AES. - Chao Luo; Yunsi Fei; A. Adam Ding (DATE, 2017)

Compiler-Assisted Threshold Implementation against Power Analysis Attacks. - Pei Luo; Konstantinos Athanasiou; Liwei Zhang; Zhen Hang Jiang; Yunsi Fei; A. Adam Ding; Thomas Wahl (ICCD, 2017)

Towards Sound and Optimal Leakage Detection Procedure. - Liwei Zhang; A. Adam Ding; François Durvaux; François-Xavier Standaert; Yunsi Fei (IACR Cryptol. ePrint Arch., 2017)

Differential Fault Analysis of SHA-3 Under Relaxed Fault Models. - Pei Luo; Yunsi Fei; Liwei Zhang; A. Adam Ding (J. Hardw. Syst. Secur., 2017)

A Robust-Equitable Measure for Feature Ranking and Selection. - A. Adam Ding; Jennifer G. Dy; Yi Li; Yale Chang (J. Mach. Learn. Res., 2017)

SCADET: a side-channel attack detection tool for tracking prime+probe. - Majid Sabbagh; Yunsi Fei; Thomas Wahl; A. Adam Ding (ICCAD, 2018)

Power Analysis Attack of an AES GPU Implementation. - Chao Luo; Yunsi Fei; Liwei Zhang; A. Adam Ding; Pei Luo; Saoni Mukherjee; David R. Kaeli (J. Hardw. Syst. Secur., 2018)

Comprehensive Side-Channel Power Analysis of XTS-AES. - Chao Luo; Yunsi Fei; Aidong Adam Ding; Pau Closas (IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2019)

Efficient Nonprofiling 2nd-Order Power Analysis on Masked Devices Utilizing Multiple Leakage Points. - Liwei Zhang; A. Adam Ding; Yunsi Fei; Pei Luo (IEEE Trans. Dependable Secur. Comput., 2019)

Automatic Detection and Repair of Transition- Based Leakage in Software Binaries. - Konstantinos Athanasiou; Thomas Wahl; A. Adam Ding; Yunsi Fei (VSTTE, 2020)

MemPoline: Mitigating Memory-based Side-Channel Attacks through Memory Access Obfuscation. - Zhen Hang Jiang; Yunsi Fei; Aidong Adam Ding; Thomas Wahl (IACR Cryptol. ePrint Arch., 2020)

On the Privacy and Utility Properties of Triple Matrix-Masking. - Aidong Adam Ding; Guanhong Miao; Samuel Shangwu Wu (J. Priv. Confidentiality, 2020)

A Fast and Accurate Guessing Entropy Estimation Algorithm for Full-key Recovery. - Ziyue Zhang; A. Adam Ding; Yunsi Fei (IACR Trans. Cryptogr. Hardw. Embed. Syst., 2020)

Finding Dynamics Preserving Adversarial Winning Tickets. - Xupeng Shi; Pengfei Zheng; A. Adam Ding; Yuan Gao 015; Weizhong Zhang (AISTATS, 2022)

A Cross-Platform Cache Timing Attack Framework via Deep Learning. - Ruyi Ding; Ziyue Zhang; Xiang Zhang; Cheng Gongye; Yunsi Fei; Aidong Adam Ding (DATE, 2022)

Ran$Net: An Anti-Ransomware Methodology based on Cache Monitoring and Deep Learning. - Xiang Zhang; Ziyue Zhang; Ruyi Ding; Cheng Gongye; Aidong Adam Ding; Yunsi Fei (ACM Great Lakes Symposium on VLSI, 2022)

Understanding and Quantifying Adversarial Examples Existence in Linear Classification. - Xupeng Shi; A. Adam Ding (ICMLC, 2022)

Achieving Differential Privacy with Matrix Masking in Big Data. - A. Adam Ding; Samuel S. Wu; Guanhong Miao; Shigang Chen (CoRR, 2022)

Linear Model with Local Differential Privacy. - Guanhong Miao; A. Adam Ding; Samuel S. Wu (CoRR, 2022)

Real-time disease prediction with local differential privacy in Internet of Medical Things. - Guanhong Miao; A. Adam Ding; Samuel S. Wu (CoRR, 2022)

Masking Feedforward Neural Networks Against Power Analysis Attacks. - Konstantinos Athanasiou; Thomas Wahl; A. Adam Ding; Yunsi Fei (Proc. Priv. Enhancing Technol., 2022)

EMShepherd: Detecting Adversarial Samples via Side-channel Leakage. - Ruyi Ding; Cheng Gongye; Siyue Wang; A. Adam Ding; Yunsi Fei (AsiaCCS, 2023)

Deep-Learning Model Extraction Through Software-Based Power Side-Channel. - Xiang Zhang; Aidong Adam Ding; Yunsi Fei (ICCAD, 2023)

A Guessing Entropy-Based Framework for Deep Learning-Assisted Side-Channel Analysis. - Ziyue Zhang; A. Adam Ding; Yunsi Fei (IEEE Trans. Inf. Forensics Secur., 2023)

Non-transferable Pruning. - Ruyi Ding; Lili Su; Aidong Adam Ding; Yunsi Fei (ECCV (86), 2024)

TrustZoneTunnel: A Cross-World Pattern History Table-Based Microarchitectural Side-Channel Attack. - Tianhong Xu; Aidong Adam Ding; Yunsi Fei (HOST, 2024)

GraphCroc: Cross-Correlation Autoencoder for Graph Structural Reconstruction. - Shijin Duan; Ruyi Ding; Jiaxing He; Aidong Adam Ding; Yunsi Fei; Xiaolin Xu 001 (NeurIPS, 2024)

MACPruning: Dynamic Operation Pruning to Mitigate Side-Channel DNN Model Extraction. - Ruyi Ding; Cheng Gongye; Davis Ranney; Aidong Adam Ding; Yunsi Fei (HOST, 2025)

USBSnoop - Revealing Device Activities via USB Congestions. - Davis Ranney; Yufei Wang; A. Adam Ding; Yunsi Fei (HOST, 2025)

AccessShadow: Leveraging Adversarial Samples to Counter Deep Learning-Assisted Cache Timing Attacks. - Xiang Zhang; Ziyue Zhang; Aidong Adam Ding; Yunsi Fei (HOST, 2025)

Probe-Me-Not: Protecting Pre-trained Encoders from Malicious Probing. - Ruyi Ding; Tong Zhou 002; Lili Su; Aidong Adam Ding; Xiaolin Xu 001; Yunsi Fei (NDSS, 2025)

Graph in the Vault: Protecting Edge GNN Inference with Trusted Execution Environment. - Ruyi Ding; Tianhong Xu; Aidong Adam Ding; Yunsi Fei (CoRR, 2025)

EXAM: Exploiting Exclusive System-Level Cache in Apple M-Series SoCs for Enhanced Cache Occupancy Attacks. - Tianhong Xu; Aidong Adam Ding; Yunsi Fei (CoRR, 2025)