Han Wang
Orcid: 0000-0002-0254-9246Affiliations:
- Temple University, Philadelphia, PA, USA
- University of California Davis, Department of Electrical and Computer Engineering, Davis, CA, USA (PhD 2022)
According to our database1,
Han Wang
authored at least 22 papers
between 2018 and 2024.
Collaborative distances:
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Bibliography
2024
Proceedings of the 33rd USENIX Security Symposium, 2024
2023
Side Channel-Assisted Inference Leakage from Machine Learning-based ECG Classification.
CoRR, 2023
HeteroScore: Evaluating and Mitigating Cloud Security Threats Brought by Heterogeneity.
Proceedings of the 30th Annual Network and Distributed System Security Symposium, 2023
Side Channel-Assisted Inference Attacks on Machine Learning-Based ECG Classification.
Proceedings of the IEEE/ACM International Conference on Computer Aided Design, 2023
Special Session: Mitigating Side-Channel Attacks Through Circuit to Application Layer Approaches.
Proceedings of the International Conference on Hardware/Software Codesign and System Synthesis, 2023
Gotcha! I Know What You Are Doing on the FPGA Cloud: Fingerprinting Co-Located Cloud FPGA Accelerators via Measuring Communication Links.
Proceedings of the 2023 ACM SIGSAC Conference on Computer and Communications Security, 2023
2022
PhD thesis, 2022
Proceedings of the 29th Annual Network and Distributed System Security Symposium, 2022
Proceedings of the 7th IEEE European Symposium on Security and Privacy, 2022
Proceedings of the 2022 Design, Automation & Test in Europe Conference & Exhibition, 2022
2021
IEEE J. Emerg. Sel. Topics Circuits Syst., 2021
Machine Learning-Assisted Website Fingerprinting Attacks with Side-Channel Information: A Comprehensive Analysis and Characterization.
Proceedings of the 22nd International Symposium on Quality Electronic Design, 2021
Evaluation of Machine Learning-based Detection against Side-Channel Attacks on Autonomous Vehicle.
Proceedings of the 3rd IEEE International Conference on Artificial Intelligence Circuits and Systems, 2021
2020
Recent Advancements in Microarchitectural Security: Review of Machine Learning Countermeasures.
Proceedings of the 63rd IEEE International Midwest Symposium on Circuits and Systems, 2020
SCARF: Detecting Side-Channel Attacks at Real-time using Low-level Hardware Features.
Proceedings of the 26th IEEE International Symposium on On-Line Testing and Robust System Design, 2020
HybriDG: Hybrid Dynamic Time Warping and Gaussian Distribution Model for Detecting Emerging Zero-Day Microarchitectural Side-Channel Attacks.
Proceedings of the 19th IEEE International Conference on Machine Learning and Applications, 2020
Phased-Guard: Multi-Phase Machine Learning Framework for Detection and Identification of Zero-Day Microarchitectural Side-Channel Attacks.
Proceedings of the 38th IEEE International Conference on Computer Design, 2020
Hybrid-Shield: Accurate and Efficient Cross-Layer Countermeasure for Run-Time Detection and Mitigation of Cache-Based Side-Channel Attacks.
Proceedings of the IEEE/ACM International Conference On Computer Aided Design, 2020
Comprehensive Evaluation of Machine Learning Countermeasures for Detecting Microarchitectural Side-Channel Attacks.
Proceedings of the GLSVLSI '20: Great Lakes Symposium on VLSI 2020, 2020
Mitigating Cache-Based Side-Channel Attacks through Randomization: A Comprehensive System and Architecture Level Analysis.
Proceedings of the 2020 Design, Automation & Test in Europe Conference & Exhibition, 2020
2019
A+ Tuning: Architecture+Application Auto-Tuning for In-Memory Data-Processing Frameworks.
Proceedings of the 25th IEEE International Conference on Parallel and Distributed Systems, 2019
2018
Energy-aware and Machine Learning-based Resource Provisioning of In-Memory Analytics on Cloud.
Proceedings of the ACM Symposium on Cloud Computing, 2018