Yue Zhang
Orcid: 0000-0002-7786-0231Affiliations:
- Shandong University, School of Computer Science and Technology, Qingdao, China
- Drexel University, Philadelphia, PA, USA
- Ohio State University, Columbus OH, USA (former)
- Jinan University, College of Information Science and Technology, Guangzhou, China (former)
According to our database1,
Yue Zhang authored at least 95 papers
between 2016 and 2026.
Collaborative distances:
Collaborative distances:
Timeline
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Bibliography
2026
Usability as a Weapon: Attacking the Safety of LLM-Based Code Generation via Usability Requirements.
CoRR, May, 2026
CoRR, April, 2026
Give Them an Inch and They Will Take a Mile:Understanding and Measuring Caller Identity Confusion in MCP-Based AI Systems.
CoRR, March, 2026
CoRR, February, 2026
Don't believe everything you read: Understanding and Measuring MCP Behavior under Misleading Tool Descriptions.
CoRR, February, 2026
Low Rank Comes with Low Security: Gradient Assembly Poisoning Attacks against Distributed LoRA-based LLM Systems.
CoRR, January, 2026
ScoreNet: Netting Lightweight Quality Scores for Better Visual Assessment with Large Multi-Modality Models.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2026
Proceedings of the 33rd Annual Network and Distributed System Security Symposium, 2026
2025
The Imitation Game: Using Large Language Models as Chatbots to Combat Chat-Based Cybercrimes.
CoRR, December, 2025
CoRR, December, 2025
Beyond Model Jailbreak: Systematic Dissection of the "Ten DeadlySins" in Embodied Intelligence.
CoRR, December, 2025
"MCP Does Not Stand for Misuse Cryptography Protocol": Uncovering Cryptographic Misuse in Model Context Protocol at Scale.
CoRR, December, 2025
LEC: Linear Expectation Constraints for False-Discovery Control in Selective Prediction and Routing Systems.
CoRR, December, 2025
Breaking BLE MAC Address Randomization with Allowlist-Based Side Channels and its Countermeasure.
ACM Trans. Priv. Secur., November, 2025
What You Code Is What We Prove: Translating BLE App Logic into Formal Models with LLMs for Vulnerability Detection.
CoRR, September, 2025
Time Tells All: Deanonymization of Blockchain RPC Users with Zero Transaction Fee (Extended Version).
CoRR, August, 2025
Say What You Mean: Natural Language Access Control with Large Language Models for Internet of Things.
CoRR, May, 2025
Everything You Wanted to Know About LLM-based Vulnerability Detection But Were Afraid to Ask.
CoRR, April, 2025
Pattern Recognit., 2025
IEEE Internet Things J., 2025
On protecting the data privacy of Large Language Models (LLMs) and LLM agents: A literature review.
High Confid. Comput., 2025
Word-Sequence Entropy: Towards uncertainty estimation in free-form medical question answering applications and beyond.
Eng. Appl. Artif. Intell., 2025
Easy As Child's Play: An Empirical Study on Age Verification of Adult-Oriented Android Apps.
Proceedings of the 34th USENIX Security Symposium, 2025
Proceedings of the 34th USENIX Security Symposium, 2025
TORCHLIGHT: Shedding LIGHT on Real-World Attacks on Cloudless IoT Devices Concealed within the Tor Network.
Proceedings of the 34th USENIX Security Symposium, 2025
Make a Feint to the East While Attacking in the West: Blinding LLM-Based Code Auditors with Flashboom Attacks.
Proceedings of the IEEE Symposium on Security and Privacy, 2025
Deanonymizing Device Identities via Side-channel Attacks in Exclusive-use IoTs & Mitigation.
Proceedings of the 32nd Annual Network and Distributed System Security Symposium, 2025
Proceedings of the 32nd Annual Network and Distributed System Security Symposium, 2025
LIFT: Automating Symbolic Execution Optimization with Large Language Models for AI Networks.
Proceedings of the 2nd Workshop on Networks for AI Computing, 2025
Proceedings of the 22nd IEEE International Conference on Mobile Ad-Hoc and Smart Systems, 2025
We Urgently Need Privilege Management in MCP: A Measurement of API Usage in MCP Ecosystems.
Proceedings of the 22nd IEEE International Conference on Mobile Ad-Hoc and Smart Systems, 2025
Proceedings of the 22nd IEEE International Conference on Mobile Ad-Hoc and Smart Systems, 2025
Screening, Rectifying, and Re-Screening: A Unified Framework for Tuning Vision-Language Models with Noisy Labels.
Proceedings of the Thirty-Fourth International Joint Conference on Artificial Intelligence, 2025
Proceedings of the 2025 ACM SIGSAC Conference on Computer and Communications Security, 2025
Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025
DynaCode: A Dynamic Complexity-Aware Code Benchmark for Evaluating Large Language Models in Code Generation.
Proceedings of the Findings of the Association for Computational Linguistics, 2025
2024
J. Syst. Archit., 2024
A survey on large language model (LLM) security and privacy: The Good, The Bad, and The Ugly.
High Confid. Comput., 2024
I'm Spartacus, No, I'm Spartacus: Measuring and Understanding LLM Identity Confusion.
CoRR, 2024
Word-Sequence Entropy: Towards Uncertainty Estimation in Free-Form Medical Question Answering Applications and Beyond.
CoRR, 2024
A Friend's Eye is A Good Mirror: Synthesizing MCU Peripheral Models from Peripheral Drivers.
Proceedings of the 33rd USENIX Security Symposium, 2024
Proceedings of the IEEE INFOCOM 2024, 2024
Proceedings of the IEEE International Conference on Acoustics, 2024
ConU: Conformal Uncertainty in Large Language Models with Correctness Coverage Guarantees.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024
RIoTFuzzer: Companion App Assisted Remote Fuzzing for Detecting Vulnerabilities in IoT Devices.
Proceedings of the 2024 on ACM SIGSAC Conference on Computer and Communications Security, 2024
Proceedings of the 2024 on ACM SIGSAC Conference on Computer and Communications Security, 2024
Proceedings of the 2024 on ACM SIGSAC Conference on Computer and Communications Security, 2024
Proceedings of the 19th ACM Asia Conference on Computer and Communications Security, 2024
2023
A Survey on Large Language Model (LLM) Security and Privacy: The Good, the Bad, and the Ugly.
CoRR, 2023
SoK: Decoding the Super App Enigma: The Security Mechanisms, Threats, and Trade-offs in OS-alike Apps.
CoRR, 2023
One Size Does Not Fit All: Uncovering and Exploiting Cross Platform Discrepant APIs in WeChat.
Proceedings of the 32nd USENIX Security Symposium, 2023
Potential Risks Arising from the Absence of Signature Verification in Miniapp Plugins.
Proceedings of the 2023 ACM Workshop on Secure and Trustworthy Superapps, 2023
Do Not Give a Dog Bread Every Time He Wags His Tail: Stealing Passwords through Content Queries (CONQUER) Attacks.
Proceedings of the 30th Annual Network and Distributed System Security Symposium, 2023
Proceedings of the 30th Annual Network and Distributed System Security Symposium, 2023
Proceedings of the 30th Annual Network and Distributed System Security Symposium, 2023
Taintmini: Detecting Flow of Sensitive Data in Mini-Programs with Static Taint Analysis.
Proceedings of the 45th IEEE/ACM International Conference on Software Engineering, 2023
Don't Leak Your Keys: Understanding, Measuring, and Exploiting the AppSecret Leaks in Mini-Programs.
Proceedings of the 2023 ACM SIGSAC Conference on Computer and Communications Security, 2023
Proceedings of the 2023 ACM SIGSAC Conference on Computer and Communications Security, 2023
2022
IEEE Trans. Dependable Secur. Comput., 2022
DAMIA: Leveraging Domain Adaptation as a Defense Against Membership Inference Attacks.
IEEE Trans. Dependable Secur. Comput., 2022
Proceedings of the IEEE INFOCOM 2022, 2022
Proceedings of the 42nd IEEE International Conference on Distributed Computing Systems, 2022
Proceedings of the 2022 ACM SIGSAC Conference on Computer and Communications Security, 2022
When Good Becomes Evil: Tracking Bluetooth Low Energy Devices via Allowlist-based Side Channel and Its Countermeasure.
Proceedings of the 2022 ACM SIGSAC Conference on Computer and Communications Security, 2022
2021
DeepChain: Auditable and Privacy-Preserving Deep Learning with Blockchain-Based Incentive.
IEEE Trans. Dependable Secur. Comput., 2021
IEEE Trans. Dependable Secur. Comput., 2021
IEEE Internet Things J., 2021
Proceedings of the SIGMETRICS '21: ACM SIGMETRICS / International Conference on Measurement and Modeling of Computer Systems, 2021
Proceedings of the 40th IEEE Conference on Computer Communications, 2021
Proceedings of the 41st IEEE International Conference on Distributed Computing Systems, 2021
2020
IEEE Trans. Veh. Technol., 2020
SecEL: Privacy-Preserving, Verifiable and Fault-Tolerant Edge Learning for Autonomous Vehicles.
CoRR, 2020
Proceedings of the 29th USENIX Security Symposium, 2020
Proceedings of the 39th IEEE Conference on Computer Communications, 2020
SIC<sup>2</sup>: Securing Microcontroller Based IoT Devices with Low-cost Crypto Coprocessors.
Proceedings of the 26th IEEE International Conference on Parallel and Distributed Systems, 2020
Proceedings of the IEEE Global Communications Conference, 2020
2019
BENBI: Scalable and Dynamic Access Control on the Northbound Interface of SDN-Based VANET.
IEEE Trans. Veh. Technol., 2019
IEEE Trans. Parallel Distributed Syst., 2019
Onionchain: Towards Balancing Privacy and Traceability of Blockchain-Based Applications.
CoRR, 2019
CoRR, 2019
Proceedings of the 22nd International Symposium on Research in Attacks, 2019
Proceedings of the IEEE International Conference on Industrial Internet, 2019
Proceedings of the 2019 IEEE International Conference on Communications, 2019
2018
On the Security and Data Integrity of Low-Cost Sensor Networks for Air Quality Monitoring.
Sensors, 2018
DeepChain: Auditable and Privacy-Preserving Deep Learning with Blockchain-based Incentive.
IACR Cryptol. ePrint Arch., 2018
2016
Efficient Attribute-Based Encryption Schemes for Secure Communications in Cyber Defense.
Intell. Autom. Soft Comput., 2016