Ziming Zhao

Orcid: 0000-0003-1455-4330

Affiliations:
  • Zhejiang University, College of Information Science and Electronic Engineering, Hangzhou, China


According to our database1, Ziming Zhao authored at least 53 papers between 2022 and 2026.

Collaborative distances:

Timeline

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Bibliography

2026
CoF-T2I: Video Models as Pure Visual Reasoners for Text-to-Image Generation.
CoRR, January, 2026

TNT: A Large-Scale P2P Botnet Detection Framework via Communication Topology and Network Traffic.
IEEE Trans. Netw., 2026

SOFA: Service-Oriented Fine-Grained Attack Traffic Detection With Meta Learning.
IEEE Trans. Netw., 2026

Network-Centric Auditing and Regulation for Cryptocurrency Systems: A Tutorial.
IEEE Trans. Netw. Sci. Eng., 2026

Assessing and Improving DNN Robustness Against Adversarial Examples From the Perspective of Fully Connected Layers.
IEEE Trans. Inf. Forensics Secur., 2026

Portray learning: A novel learning paradigm for streaming emerging class detection.
Inf. Sci., 2026

HeteroSim: Towards High-Fidelity Heterogeneous LLM Training Simulation on GPUs.
Proceedings of the ACM Web Conference 2026, 2026

Has the Two-Decade-Old Prophecy Come True? Artificial Bad Intelligence Triggered by Merely a Single-Bit Flip in Large Language Models.
Proceedings of the ACM Web Conference 2026, 2026

RegimeGuard: Continual Learning Queue Scheduling for Socially Critical Web Services.
Proceedings of the ACM Web Conference 2026, 2026

Fair and Carbon-Aware LLM Routing for Web Services.
Proceedings of the ACM Web Conference 2026, 2026

Chimera: Harnessing Multi-Agent LLMs for Automatic Insider Threat Simulation.
Proceedings of the 33rd Annual Network and Distributed System Security Symposium, 2026

QuaMap: A Multi-Backend Benchmark Dataset for Quantum Circuit Mapping and Learning-Based Compiler Evaluation.
Proceedings of the 32nd ACM SIGKDD Conference on Knowledge Discovery and Data Mining V.1, 2026

VQFlow: A Benchmark Dataset for Encrypted Video Streaming Traffic across QoS Configurations.
Proceedings of the 32nd ACM SIGKDD Conference on Knowledge Discovery and Data Mining V.1, 2026

Relational Verification for Cost-Aware Quantum Program Optimization.
Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

Adaptive Fidelity Estimation for Quantum Programs with Graph-Guided Noise Awareness.
Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025
A.S.E: A Repository-Level Benchmark for Evaluating Security in AI-Generated Code.
CoRR, August, 2025

Verify All Traffic: Towards Zero-Trust In-Network Intrusion Detection Against Multipath Routing.
IEEE J. Sel. Areas Commun., June, 2025

QuST: Optimizing Quantum Neural Network Against Spatial and Temporal Noise Biases.
IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., April, 2025

CGIFuzz: Enabling Gray-Box Fuzzing for Web CGI of IoT Devices.
IEEE Trans. Inf. Forensics Secur., 2025

Task-Driven Device Fingerprinting for Quantum Cloud Platforms via Modeling QNN Outcomes Under Noise.
IEEE Trans. Inf. Forensics Secur., 2025

CAShift: Benchmarking Log-Based Cloud Attack Detection under Normality Shift.
Proc. ACM Softw. Eng., 2025

Stealthy-AE: Generating Stealthy Adversarial Examples through Online Social Networks.
Proceedings of the 33rd ACM International Conference on Multimedia, 2025

Towards Context-Aware Traffic Classification via Time-Wavelet Fusion Network.
Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining, V.1, 2025

AutoFid: Adaptive and Noise-Aware Fidelity Measurement for Quantum Programs via Circuit Graph Analysis.
Proceedings of the 40th IEEE/ACM International Conference on Automated Software Engineering, 2025

Fortuna: Towards Efficient Selection of High-Fidelity Link for Quantum Network in the Wild.
Proceedings of the IEEE INFOCOM 2025, 2025

Empowering Quantum Serverless Circuit Deployment Optimization via Graph Contrastive Learning and Learning-to-Rank Co-designed Approaches.
Proceedings of the Thirty-Fourth International Joint Conference on Artificial Intelligence, 2025

Empowering Quantum Error Traceability with MoE for Automatic Calibration.
Proceedings of the Design, Automation & Test in Europe Conference, 2025

CyberLLM: Enable Mapping CVE to Tactics and Techniques of Cyber Threats via LLM.
Proceedings of the Database Systems for Advanced Applications, 2025

2024
TPE-Det: A Tamper-Proof External Detector via Hardware Traces Analysis Against IoT Malware.
IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., November, 2024

FOSS: Towards Fine-Grained Unknown Class Detection Against the Open-Set Attack Spectrum With Variable Legitimate Traffic.
IEEE/ACM Trans. Netw., October, 2024

CMD: Co-Analyzed IoT Malware Detection and Forensics via Network and Hardware Domains.
IEEE Trans. Mob. Comput., May, 2024

DDoS family: A novel perspective for massive types of DDoS attacks.
Comput. Secur., March, 2024

Effective DDoS Mitigation via ML-Driven In-Network Traffic Shaping.
IEEE Trans. Dependable Secur. Comput., 2024

metaNet: Interpretable unknown mobile malware identification with a novel meta-features mining algorithm.
Comput. Networks, 2024

Task-Driven Quantum Device Fingerprint Identification via Modeling QNN Outcome Shift Induced by Quantum Noise.
Proceedings of the Companion Proceedings of the ACM on Web Conference 2024, 2024

Trident: A Universal Framework for Fine-Grained and Class-Incremental Unknown Traffic Detection.
Proceedings of the ACM on Web Conference 2024, 2024

Improving Model Robustness against Adversarial Examples with Redundant Fully Connected Layer.
Proceedings of the Companion Proceedings of the ACM on Web Conference 2024, 2024

Poster: Combine Topology and Traffic to Calibrate P2P Botnet Identification in Large-Scale Network.
Proceedings of the ACM SIGCOMM 2024 Conference: Posters and Demos, 2024

A Large-Scale P2P Botnet Detection Framework via Topology and Traffic Co-Verification.
Proceedings of the 21st Annual IEEE International Conference on Sensing, 2024

Work-in-Progress: Analyzing Worst-Case DDoS Traffic Scrub Effect and Recovery Delay via Attack Vector Combination.
Proceedings of the IEEE Real-Time Systems Symposium, 2024

QLSel: Demonstrating Efficient High-Fidelity Link Selection for Quantum Networks in the Wild.
Proceedings of the 30th Annual International Conference on Mobile Computing and Networking, 2024

Minerva: Enhancing Quantum Network Performance for High-Fidelity Multimedia Transmission.
Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024

RIDS: Towards Advanced IDS via RNN Model and Programmable Switches Co-Designed Approaches.
Proceedings of the IEEE INFOCOM 2024, 2024

Moirai: Optimizing Quantum Serverless Function Orchestration via Device Allocation and Circuit Deployment.
Proceedings of the IEEE International Conference on Web Services, 2024

An Automated Alert Cross-Verification System with Graph Neural Networks for IDS Events.
Proceedings of the 27th International Conference on Computer Supported Cooperative Work in Design, 2024

Demo: Enhancing Smart Contract Security Comprehensively through Dynamic Symbolic Execution.
Proceedings of the 2024 on ACM SIGSAC Conference on Computer and Communications Security, 2024

DDoSMiner: An Automated Framework for DDoS Attack Characterization and Vulnerability Mining.
Proceedings of the Applied Cryptography and Network Security, 2024

2023
VulHunter: Hunting Vulnerable Smart Contracts at EVM Bytecode-Level via Multiple Instance Learning.
IEEE Trans. Software Eng., November, 2023

SAGE: Steering the Adversarial Generation of Examples With Accelerations.
IEEE Trans. Inf. Forensics Secur., 2023

Work-in-Progress: Towards Real-Time IDS via RNN and Programmable Switches Co-Designed Approach.
Proceedings of the IEEE Real-Time Systems Symposium, 2023

Poster: Detecting Adversarial Examples Hidden under Watermark Perturbation via Usable Information Theory.
Proceedings of the 2023 ACM SIGSAC Conference on Computer and Communications Security, 2023

Purifier: Defending Data Inference Attacks via Transforming Confidence Scores.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022
SmartFast: an accurate and robust formal analysis tool for Ethereum smart contracts.
Empir. Softw. Eng., 2022


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