A. Adam Ding

According to our database, A. Adam Ding authored at least 46 papers between 1999 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

GraphCroc: Cross-Correlation Autoencoder for Graph Structural Reconstruction.

Shijin Duan, Ruyi Ding, Jiaxing He, Aidong Adam Ding, Yunsi Fei, Xiaolin Xu

CoRR, 2024

TrustZoneTunnel: A Cross-World Pattern History Table-Based Microarchitectural Side-Channel Attack.

Tianhong Xu, Aidong Adam Ding, Yunsi Fei

Proceedings of the IEEE International Symposium on Hardware Oriented Security and Trust, 2024

Non-transferable Pruning.

Ruyi Ding, Lili Su, Aidong Adam Ding, Yunsi Fei

Proceedings of the Computer Vision - ECCV 2024, 2024

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

Deep-Learning Model Extraction Through Software-Based Power Side-Channel.

Xiang Zhang, Aidong Adam Ding, Yunsi Fei

Proceedings of the IEEE/ACM International Conference on Computer Aided Design, 2023

EMShepherd: Detecting Adversarial Samples via Side-channel Leakage.

Ruyi Ding, Cheng Gongye, Siyue Wang, A. Adam Ding, Yunsi Fei

Proceedings of the 2023 ACM Asia Conference on Computer and Communications Security, 2023

2022

Masking Feedforward Neural Networks Against Power Analysis Attacks.

Konstantinos Athanasiou, Thomas Wahl, A. Adam Ding, Yunsi Fei

Proc. Priv. Enhancing Technol., 2022

Real-time disease prediction with local differential privacy in Internet of Medical Things.

Guanhong Miao, A. Adam Ding, Samuel S. Wu

CoRR, 2022

Linear Model with Local Differential Privacy.

Guanhong Miao, A. Adam Ding, Samuel S. Wu

CoRR, 2022

Achieving Differential Privacy with Matrix Masking in Big Data.

A. Adam Ding, Samuel S. Wu, Guanhong Miao, Shigang Chen

CoRR, 2022

Understanding and Quantifying Adversarial Examples Existence in Linear Classification.

Xupeng Shi, A. Adam Ding

Proceedings of the International Conference on Machine Learning and Cybernetics, 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

Proceedings of the GLSVLSI '22: Great Lakes Symposium on VLSI 2022, Irvine CA USA, June 6, 2022

A Cross-Platform Cache Timing Attack Framework via Deep Learning.

Ruyi Ding, Ziyue Zhang, Xiang Zhang, Cheng Gongye, Yunsi Fei, Aidong Adam Ding

Proceedings of the 2022 Design, Automation & Test in Europe Conference & Exhibition, 2022

Finding Dynamics Preserving Adversarial Winning Tickets.

Xupeng Shi, Pengfei Zheng, A. Adam Ding, Yuan Gao, Weizhong Zhang

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2022

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

On the Privacy and Utility Properties of Triple Matrix-Masking.

Aidong Adam Ding, Guanhong Miao, Samuel Shangwu Wu

J. Priv. Confidentiality, 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

Automatic Detection and Repair of Transition- Based Leakage in Software Binaries.

Konstantinos Athanasiou, Thomas Wahl, A. Adam Ding, Yunsi Fei

Proceedings of the Software Verification - 12th International Conference, 2020

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

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

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

SCADET: a side-channel attack detection tool for tracking prime+probe.

Majid Sabbagh, Yunsi Fei, Thomas Wahl, A. Adam Ding

Proceedings of the International Conference on Computer-Aided Design, 2018

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

Differential Fault Analysis of SHA-3 Under Relaxed Fault Models.

Pei Luo, Yunsi Fei, Liwei Zhang, A. Adam Ding

J. Hardw. Syst. Secur., 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

Compiler-Assisted Threshold Implementation against Power Analysis Attacks.

Pei Luo, Konstantinos Athanasiou, Liwei Zhang, Zhen Hang Jiang, Yunsi Fei, A. Adam Ding, Thomas Wahl

Proceedings of the 2017 IEEE International Conference on Computer Design, 2017

Side-channel power analysis of XTS-AES.

Chao Luo, Yunsi Fei, A. Adam Ding

Proceedings of the Design, Automation & Test in Europe Conference & Exhibition, 2017

Rate Optimal Estimation for High Dimensional Spatial Covariance Matrices.

Yi Li, Aidong Adam Ding, Jennifer G. Dy

Proceedings of The 9th Asian Conference on Machine Learning, 2017

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

Statistical Analysis for Access-Driven Cache Attacks Against AES.

Liwei Zhang, A. Adam Ding, Yunsi Fei, Zhen Hang Jiang

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

Differential Fault Analysis of SHA3-224 and SHA3-256.

Pei Luo, Yunsi Fei, Liwei Zhang, A. Adam Ding

IACR Cryptol. ePrint Arch., 2016

SMARP: A Stochastic MAC Protocol with Randomized Power Control for Underwater Sensor Networks.

Yu Han, Yunsi Fei, A. Adam Ding

Proceedings of the 13th Annual IEEE International Conference on Sensing, 2016

A Robust-Equitable Copula Dependence Measure for Feature Selection.

Yale Chang, Yi Li, A. Adam Ding, Jennifer G. Dy

Proceedings of the 19th International Conference on Artificial Intelligence and Statistics, 2016

2015

A statistics-based success rate model for DPA and CPA.

Yunsi Fei, A. Adam Ding, Jian Lao, Liwei Zhang

J. Cryptogr. Eng., 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

Side-Channel Analysis of MAC-Keccak Hardware Implementations.

Pei Luo, Yunsi Fei, Xin Fang, A. Adam Ding, David R. Kaeli, Miriam Leeser

IACR Cryptol. ePrint Arch., 2015

Simpler, Faster, and More Robust T-test Based Leakage Detection.

A. Adam Ding, Cong Chen, Thomas Eisenbarth

IACR Cryptol. ePrint Arch., 2015

Efficient 2nd-order power analysis on masked devices utilizing multiple leakage.

Liwei Zhang, A. Adam Ding, Yunsi Fei, Pei Luo

Proceedings of the IEEE International Symposium on Hardware Oriented Security and Trust, 2015

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

Power Analysis Attack on Hardware Implementation of MAC-Keccak on FPGAs.

Pei Luo, Yunsi Fei, Xin Fang, A. Adam Ding, Miriam Leeser, David R. Kaeli

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

A Statistical Model for Higher Order DPA on Masked Devices.

A. Adam Ding, Liwei Zhang, Yunsi Fei, Pei Luo

IACR Cryptol. ePrint Arch., 2014

2012

A Statistical Model for DPA with Novel Algorithmic Confusion Analysis.

Yunsi Fei, Qiasi Luo, A. Adam Ding

Proceedings of the Cryptographic Hardware and Embedded Systems - CHES 2012, 2012

2003

Backpropagation of pseudo-errors: neural networks that are adaptive to heterogeneous noise.

Aidong Adam Ding, Xiali He

IEEE Trans. Neural Networks, 2003

1999

Neural-network prediction with noisy predictors.

Aidong Adam Ding

IEEE Trans. Neural Networks, 1999