Hangtao Zhang

Orcid: 0000-0002-6805-6401

According to our database1, Hangtao Zhang authored at least 14 papers between 2023 and 2025.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2025
TSCAN: Context-Aware Uplift Modeling via Two-Stage Training for Online Merchant Business Diagnosis.
CoRR, April, 2025

DarkHash: A Data-Free Backdoor Attack Against Deep Hashing.
IEEE Trans. Inf. Forensics Secur., 2025

BadRobot: Jailbreaking Embodied LLM Agents in the Physical World.
Proceedings of the Thirteenth International Conference on Learning Representations, 2025

PB-UAP: Hybride Universal Adversarial Attack for Image Segmentation.
Proceedings of the 2025 IEEE International Conference on Acoustics, 2025

Test-Time Backdoor Detection for Object Detection Models.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

Breaking Barriers in Physical-World Adversarial Examples: Improving Robustness and Transferability via Robust Feature.
Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025

2024
Reverse Backdoor Distillation: Towards Online Backdoor Attack Detection for Deep Neural Network Models.
IEEE Trans. Dependable Secur. Comput., 2024

TrojanRobot: Backdoor Attacks Against Robotic Manipulation in the Physical World.
CoRR, 2024

BadRobot: Jailbreaking LLM-based Embodied AI in the Physical World.
CoRR, 2024

Detector Collapse: Backdooring Object Detection to Catastrophic Overload or Blindness.
CoRR, 2024

Unlearnable 3D Point Clouds: Class-wise Transformation Is All You Need.
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

Detector Collapse: Backdooring Object Detection to Catastrophic Overload or Blindness in the Physical World.
Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

2023
AdvCLIP: Downstream-agnostic Adversarial Examples in Multimodal Contrastive Learning.
Proceedings of the 31st ACM International Conference on Multimedia, 2023

Denial-of-Service or Fine-Grained Control: Towards Flexible Model Poisoning Attacks on Federated Learning.
Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023


  Loading...