Zhikun Zhang

Orcid: 0000-0001-7208-3392

Affiliations:
  • Stanford University, Palo Alto, CA, USA
  • CISPA Helmholtz Center for Information Security, Saarbrücken, Germany (former)
  • Zhejiang University, Cyber Innovation Joint Research Center, Hangzhou, China (former)


According to our database1, Zhikun Zhang authored at least 37 papers between 2015 and 2024.

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Timeline

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Bibliography

2024
Stealthy Black-Box Attack With Dynamic Threshold Against MARL-Based Traffic Signal Control System.
IEEE Trans. Ind. Informatics, October, 2024

TrustLLM: Trustworthiness in Large Language Models.
CoRR, 2024

LMSanitator: Defending Prompt-Tuning Against Task-Agnostic Backdoors.
Proceedings of the 31st Annual Network and Distributed System Security Symposium, 2024

ORL-AUDITOR: Dataset Auditing in Offline Deep Reinforcement Learning.
Proceedings of the 31st Annual Network and Distributed System Security Symposium, 2024

Real-Time Trajectory Synthesis with Local Differential Privacy.
Proceedings of the 40th IEEE International Conference on Data Engineering, 2024

FAKEPCD: Fake Point Cloud Detection via Source Attribution.
Proceedings of the 19th ACM Asia Conference on Computer and Communications Security, 2024

PARL: Poisoning Attacks Against Reinforcement Learning-based Recommender Systems.
Proceedings of the 19th ACM Asia Conference on Computer and Communications Security, 2024

2023
Backdoor attacks against deep reinforcement learning based traffic signal control systems.
Peer Peer Netw. Appl., January, 2023

LDPTrace: Locally Differentially Private Trajectory Synthesis.
Proc. VLDB Endow., 2023

PrivGraph: Differentially Private Graph Data Publication by Exploiting Community Information.
Proceedings of the 32nd USENIX Security Symposium, 2023

PrivTrace: Differentially Private Trajectory Synthesis by Adaptive Markov Models.
Proceedings of the 32nd USENIX Security Symposium, 2023

FACE-AUDITOR: Data Auditing in Facial Recognition Systems.
Proceedings of the 32nd USENIX Security Symposium, 2023

CampER: An Effective Framework for Privacy-Aware Deep Entity Resolution.
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

Generated Graph Detection.
Proceedings of the International Conference on Machine Learning, 2023

Making Watermark Survive Model Extraction Attacks in Graph Neural Networks.
Proceedings of the IEEE International Conference on Communications, 2023

DPMLBench: Holistic Evaluation of Differentially Private Machine Learning.
Proceedings of the 2023 ACM SIGSAC Conference on Computer and Communications Security, 2023

Differentially Private Resource Allocation.
Proceedings of the Annual Computer Security Applications Conference, 2023

2022
PrivTrace: Differentially Private Trajectory Synthesis by Adaptive Markov Model.
CoRR, 2022

ML-Doctor: Holistic Risk Assessment of Inference Attacks Against Machine Learning Models.
Proceedings of the 31st USENIX Security Symposium, 2022

Inference Attacks Against Graph Neural Networks.
Proceedings of the 31st USENIX Security Symposium, 2022

Finding MNEMON: Reviving Memories of Node Embeddings.
Proceedings of the 2022 ACM SIGSAC Conference on Computer and Communications Security, 2022

On the Privacy Risks of Cell-Based NAS Architectures.
Proceedings of the 2022 ACM SIGSAC Conference on Computer and Communications Security, 2022

Graph Unlearning.
Proceedings of the 2022 ACM SIGSAC Conference on Computer and Communications Security, 2022

2021
DPSyn: Experiences in the NIST Differential Privacy Data Synthesis Challenges.
J. Priv. Confidentiality, 2021

PrivSyn: Differentially Private Data Synthesis.
Proceedings of the 30th USENIX Security Symposium, 2021

Iris Protection with Verisimilar Feature Structure.
Proceedings of the 27th IEEE International Conference on Parallel and Distributed Systems, 2021

AHEAD: Adaptive Hierarchical Decomposition for Range Query under Local Differential Privacy.
Proceedings of the CCS '21: 2021 ACM SIGSAC Conference on Computer and Communications Security, Virtual Event, Republic of Korea, November 15, 2021

When Machine Unlearning Jeopardizes Privacy.
Proceedings of the CCS '21: 2021 ACM SIGSAC Conference on Computer and Communications Security, Virtual Event, Republic of Korea, November 15, 2021

Continuous Release of Data Streams under both Centralized and Local Differential Privacy.
Proceedings of the CCS '21: 2021 ACM SIGSAC Conference on Computer and Communications Security, Virtual Event, Republic of Korea, November 15, 2021

2020
Bilateral Privacy-Preserving Utility Maximization Protocol in Database-Driven Cognitive Radio Networks.
IEEE Trans. Dependable Secur. Comput., 2020

Privacy Analysis of Deep Learning in the Wild: Membership Inference Attacks against Transfer Learning.
CoRR, 2020

2018
REAP: An Efficient Incentive Mechanism for Reconciling Aggregation Accuracy and Individual Privacy in Crowdsensing.
IEEE Trans. Inf. Forensics Secur., 2018

Throughput Modeling and Analysis of Random Access in Narrowband Internet of Things.
IEEE Internet Things J., 2018

CALM: Consistent Adaptive Local Marginal for Marginal Release under Local Differential Privacy.
Proceedings of the 2018 ACM SIGSAC Conference on Computer and Communications Security, 2018

2017
LEPA: Incentivizing Long-term Privacy-preserving Data Aggregation in Crowdsensing.
CoRR, 2017

Re-DPoctor: Real-Time Health Data Releasing with W-Day Differential Privacy.
Proceedings of the 2017 IEEE Global Communications Conference, 2017

2015
Achieving Bilateral Utility Maximization and Location Privacy Preservation in Database-Driven Cognitive Radio Networks.
Proceedings of the 12th IEEE International Conference on Mobile Ad Hoc and Sensor Systems, 2015


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