PPaperPicks

Shengshan Hu

20 papers at tracked venues · 16 at CORE A* · active 20242026

Venues

Frequent coauthors

Papers

  1. Dual-View Inference Attack: Machine Unlearning Amplifies Privacy Exposure
  2. AdvEDM: Fine-grained Adversarial Attack against VLM-based Embodied Agents
  3. BadRobot: Jailbreaking Embodied LLM Agents in the Physical World
  4. Breaking Barriers in Physical-World Adversarial Examples: Improving Robustness and Transferability via Robust Feature
  5. Detecting and Corrupting Convolution-based Unlearnable Examples
  6. Improving Generalization of Universal Adversarial Perturbation via Dynamic Maximin Optimization
  7. MARS: A Malignity-Aware Backdoor Defense in Federated Learning
  8. Manipulating Multimodal Agents via Cross-Modal Prompt Injection
  9. NumbOD: A Spatial-Frequency Fusion Attack Against Object Detectors
  10. Test-Time Backdoor Detection for Object Detection Models
  11. Transferable Direct Prompt Injection via Activation-Guided MCMC Sampling
  12. Uncertainty-Aware Metabolic Stability Prediction with Dual-View Contrastive Learning
  13. Vanish into Thin Air: Cross-prompt Universal Adversarial Attacks for SAM2
  14. DarkFed: A Data-Free Backdoor Attack in Federated Learning
  15. DarkSAM: Fooling Segment Anything Model to Segment Nothing
  16. Detector Collapse: Backdooring Object Detection to Catastrophic Overload or Blindness in the Physical World
  17. Revisiting Gradient Pruning: A Dual Realization for Defending against Gradient Attacks
  18. Towards Model Extraction Attacks in GAN-Based Image Translation via Domain Shift Mitigation
  19. Transferable Adversarial Facial Images for Privacy Protection
  20. Unlearnable 3D Point Clouds: Class-wise Transformation Is All You Need