Zhisheng Hu

Orcid: 0009-0003-1498-7053

According to our database1, Zhisheng Hu authored at least 22 papers between 2014 and 2024.

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Bibliography

2024
Aceso: Achieving Efficient Fault Tolerance in Memory-Disaggregated Key-Value Stores.
Proceedings of the ACM SIGOPS 30th Symposium on Operating Systems Principles, 2024

2022
SoK: On the Semantic AI Security in Autonomous Driving.
CoRR, 2022

HNFFS: Revisiting the NOR Flash File System.
Proceedings of the 11th IEEE Non-Volatile Memory Systems and Applications Symposium, 2022

Detecting multi-sensor fusion errors in advanced driver-assistance systems.
Proceedings of the ISSTA '22: 31st ACM SIGSOFT International Symposium on Software Testing and Analysis, Virtual Event, South Korea, July 18, 2022

SimLane: A Risk-Orientated Benchmark for Lane Detection.
Proceedings of the 52nd Annual IEEE/IFIP International Conference on Dependable Systems and Networks, 2022

2021
A Co-Design Adaptive Defense Scheme With Bounded Security Damages Against Heartbleed-Like Attacks.
IEEE Trans. Inf. Forensics Secur., 2021

Detecting Safety Problems of Multi-Sensor Fusion in Autonomous Driving.
CoRR, 2021

Coverage-based Scene Fuzzing for Virtual Autonomous Driving Testing.
CoRR, 2021

Disclosing the Fragility Problem of Virtual Safety Testing for Autonomous Driving Systems.
Proceedings of the IEEE International Symposium on Software Reliability Engineering, 2021

2020
Adaptive Cyber Defense Against Multi-Stage Attacks Using Learning-Based POMDP.
ACM Trans. Priv. Secur., 2020

DeepReturn: A deep neural network can learn how to detect previously-unseen ROP payloads without using any heuristics.
J. Comput. Secur., 2020

Port Recommendation System for Alternative Container Port Destinations Using a Novel Neural Language-Based Algorithm.
IEEE Access, 2020

Quantifying DNN Model Robustness to the Real-World Threats.
Proceedings of the 50th Annual IEEE/IFIP International Conference on Dependable Systems and Networks, 2020

2019
Reinforcement Learning for Adaptive Cyber Defense Against Zero-Day Attacks.
Proceedings of the Adversarial and Uncertain Reasoning for Adaptive Cyber Defense, 2019

MTD Techniques for Memory Protection Against Zero-Day Attacks.
Proceedings of the Adversarial and Uncertain Reasoning for Adaptive Cyber Defense, 2019

On convergence rates of game theoretic reinforcement learning algorithms.
Autom., 2019

2018
Feedback control can make data structure layout randomization more cost-effective under zero-day attacks.
Cybersecur., 2018

ROPNN: Detection of ROP Payloads Using Deep Neural Networks.
CoRR, 2018

2017
What You See is Not What You Get! Thwarting Just-in-Time ROP with Chameleon.
Proceedings of the 47th Annual IEEE/IFIP International Conference on Dependable Systems and Networks, 2017

Online Algorithms for Adaptive Cyber Defense on Bayesian Attack Graphs.
Proceedings of the 2017 Workshop on Moving Target Defense, 2017

2016
Towards a Science for Adaptive Defense: Revisit Server Protection.
Proceedings of the 2nd IEEE International Conference on Collaboration and Internet Computing, 2016

2014
Reinforcement Learning Algorithms for Adaptive Cyber Defense against Heartbleed.
Proceedings of the First ACM Workshop on Moving Target Defense, 2014


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