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Shengshan Hu

23 papers · 2022–2026 · 7 venues · across top CS/AI venues

Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.

Achievements

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+5 more ↓ πŸ—ΊοΈ Taxonomy Completionist (32) πŸŒ‰ Interdisciplinary Bridge Β· Silver 🐣 Hot Topic Early Bird 🌍 Conference Polyglot Β· Silver πŸ”¬ Deep Specialist (13)
🀝 Dynamic Duo (16) πŸ’Ž Century Club Β· Bronze ⚑ Prolific Year Β· Productive πŸ—ƒοΈ Keyword Collector (114) πŸ”₯ Unstoppable Β· Bronze

Venues

AAAI (8) IJCAI (5) CVPR (4) ICCV (2) NeurIPS (2) EMNLP (1) ICLR (1)

Top co-authors

Leo Yu Zhang (16) Minghui Li (14) Ziqi Zhou (10) Hai Jin (8) Hangtao Zhang (6) Yanjun Zhang (5) Yechao Zhang (5) Lulu Xue (5) Wei Wan (5) Yichen Wang (5)

Research topics

Machine Learning (19) Artificial Intelligence (17) Core AI (15) Learning Types Β· Machine Learning (14) Computer Vision (10) Deep Learning (9) Learning Types Β· Deep Learning (8) Application Areas (7) Analysis (5) Processing (5) Learning Paradigms (4) Optimization & Theory (4) Architectures (2) Interdisciplinary (1) Natural Language Processing (1)

Keywords

adversarial attack (8) adversarial example (5) backdoor attack (3) universal adversarial perturbation (3) federated learning (3) adversarial robustness (3) object detection (3) point cloud (2) adversarial learning (2) autonomous driving (2) adversarial perturbation (2) model poisoning (2) neural network security (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 UFVideo: Towards Unified Fine-Grained Video Cooperative Understanding with Large Language Models CVPR 2026 BadRobot: Jailbreaking Embodied LLM Agents in the Physical World ICLR 2025 Breaking Barriers in Physical-World Adversarial Examples: Improving Robustness and Transferability via Robust Feature AAAI 2025 Detecting and Corrupting Convolution-based Unlearnable Examples AAAI 2025 Improving Generalization of Universal Adversarial Perturbation via Dynamic Maximin Optimization AAAI 2025 NumbOD: A Spatial-Frequency Fusion Attack Against Object Detectors AAAI 2025 Test-Time Backdoor Detection for Object Detection Models CVPR 2025 Transferable Direct Prompt Injection via Activation-Guided MCMC Sampling EMNLP 2025 DarkFed: A Data-Free Backdoor Attack in Federated Learning IJCAI 2024 DarkSAM: Fooling Segment Anything Model to Segment Nothing NeurIPS 2024 Detector Collapse: Backdooring Object Detection to Catastrophic Overload or Blindness in the Physical World IJCAI 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 Unlearnable 3D Point Clouds: Class-wise Transformation Is All You Need NeurIPS 2024 Benchmarking and Analyzing Robust Point Cloud Recognition: Bag of Tricks for Defending Adversarial Examples ICCV 2023 Denial-of-Service or Fine-Grained Control: Towards Flexible Model Poisoning Attacks on Federated Learning IJCAI 2023 Detecting Backdoors During the Inference Stage Based on Corruption Robustness Consistency CVPR 2023 Downstream-agnostic Adversarial Examples ICCV 2023 PointCA: Evaluating the Robustness of 3D Point Cloud Completion Models against Adversarial Examples AAAI 2023 Voice Guard: Protecting Voice Privacy with Strong and Imperceptible Adversarial Perturbation in the Time Domain IJCAI 2023 Protecting Facial Privacy: Generating Adversarial Identity Masks via Style-Robust Makeup Transfer CVPR 2022 Shielding Federated Learning: Robust Aggregation with Adaptive Client Selection IJCAI 2022