Shang Wang

Orcid: 0000-0002-5114-4659

Affiliations:
  • University of Technology Sydney, Sydney, NSW, Australia


According to our database1, Shang Wang authored at least 15 papers between 2022 and 2026.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

Online presence:

On csauthors.net:

Bibliography

2026
Secure Forgetting: A Framework for Privacy-Driven Unlearning in Large Language Model (LLM)-Based Agents.
CoRR, April, 2026

Unique Security and Privacy Threats of Large Language Models: A Comprehensive Survey.
ACM Comput. Surv., March, 2026

Turning Black Box into White Box: Dataset Distillation Leaks.
CoRR, March, 2026

Parameter-Agnostic Privacy-Preserving Machine Unlearning for Large Language Models.
IEEE Trans. Inf. Forensics Secur., 2026

When Machine Unlearning Meets Retrieval-Augmented Generation (RAG): Keep Secret or Forget Knowledge?
IEEE Trans. Dependable Secur. Comput., 2026

Unshaken by Weak Embedding: Robust Probabilistic Watermarking for Dataset Copyright Protection.
Proceedings of the 33rd Annual Network and Distributed System Security Symposium, 2026

2025
Isolate Trigger: Detecting and Eradicating Evade-Adaptive Backdoors.
CoRR, August, 2025

Data-Free Model-Related Attacks: Unleashing the Potential of Generative AI.
Proceedings of the 34th USENIX Security Symposium, 2025

2024
CareFL: Contribution Guided Byzantine-Robust Federated Learning.
IEEE Trans. Inf. Forensics Secur., 2024

Unique Security and Privacy Threats of Large Language Model: A Comprehensive Survey.
CoRR, 2024

Watch Out! Simple Horizontal Class Backdoor Can Trivially Evade Defense.
Proceedings of the 2024 on ACM SIGSAC Conference on Computer and Communications Security, 2024

2023
Horizontal Class Backdoor to Deep Learning.
CoRR, 2023

CASSOCK: Viable Backdoor Attacks against DNN in the Wall of Source-Specific Backdoor Defenses.
Proceedings of the 2023 ACM Asia Conference on Computer and Communications Security, 2023

2022
LinkBreaker: Breaking the Backdoor-Trigger Link in DNNs via Neurons Consistency Check.
IEEE Trans. Inf. Forensics Secur., 2022

CASSOCK: Viable Backdoor Attacks against DNN in The Wall of Source-Specific Backdoor Defences.
CoRR, 2022


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