Shengshan Hu
22 papers · 2022–2026 · 7 conferences · across top CS/AI conferences
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Keywords
adversarial attack
(8)
adversarial example
(5)
universal adversarial perturbation
(3)
object detection
(3)
backdoor attack
(3)
federated learning
(3)
point cloud
(2)
adversarial learning
(2)
autonomous driving
(2)
adversarial perturbation
(2)
model poisoning
(2)
neural network security
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adversarial robustness
(2)
transfer learning
(2)
adversarial defense
(2)
unlearnable example
(2)
attention mechanism
(1)
self-supervised learning
(1)
model robustness
(1)
privacy attack
(1)
Papers
Dual-View Inference Attack: Machine Unlearning Amplifies Privacy Exposure
AAAI 2026
Test-Time Backdoor Detection for Object Detection Models
CVPR 2025
NumbOD: A Spatial-Frequency Fusion Attack Against Object Detectors
AAAI 2025
Breaking Barriers in Physical-World Adversarial Examples: Improving Robustness and Transferability via Robust Feature
AAAI 2025
Improving Generalization of Universal Adversarial Perturbation via Dynamic Maximin Optimization
AAAI 2025
Detecting and Corrupting Convolution-based Unlearnable Examples
AAAI 2025
Transferable Direct Prompt Injection via Activation-Guided MCMC Sampling
EMNLP 2025
BadRobot: Jailbreaking Embodied LLM Agents in the Physical World
ICLR 2025
Detector Collapse: Backdooring Object Detection to Catastrophic Overload or Blindness in the Physical World
IJCAI 2024
DarkSAM: Fooling Segment Anything Model to Segment Nothing
NIPS 2024
DarkFed: A Data-Free Backdoor Attack in Federated Learning
IJCAI 2024
Unlearnable 3D Point Clouds: Class-wise Transformation Is All You Need
NIPS 2024
Revisiting Gradient Pruning: A Dual Realization for Defending against Gradient Attacks
AAAI 2024
Towards Model Extraction Attacks in GAN-Based Image Translation via Domain Shift Mitigation
AAAI 2024
Downstream-agnostic Adversarial Examples
ICCV 2023
Voice Guard: Protecting Voice Privacy with Strong and Imperceptible Adversarial Perturbation in the Time Domain
IJCAI 2023
Benchmarking and Analyzing Robust Point Cloud Recognition: Bag of Tricks for Defending Adversarial Examples
ICCV 2023
PointCA: Evaluating the Robustness of 3D Point Cloud Completion Models against Adversarial Examples
AAAI 2023
Detecting Backdoors During the Inference Stage Based on Corruption Robustness Consistency
CVPR 2023
Denial-of-Service or Fine-Grained Control: Towards Flexible Model Poisoning Attacks on Federated Learning
IJCAI 2023
Shielding Federated Learning: Robust Aggregation with Adaptive Client Selection
IJCAI 2022
Protecting Facial Privacy: Generating Adversarial Identity Masks via Style-Robust Makeup Transfer
CVPR 2022