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• Shielding Collaborative Learning: Mitigating Poisoning Attacks through Client-Side Detection
  2019 · 16 citations
• Challenges and Approaches for Mitigating Byzantine Attacks in Federated Learning
  2021 · 3 citations
• Evaluating Membership Inference Through Adversarial Robustness
  2022 · 2 citations
• Shielding Federated Learning: Robust Aggregation with Adaptive Client Selection
  2022 · 1 citations
• Detecting Backdoors During the Inference Stage Based on Corruption Robustness Consistency
  2023 · 1 citations
• Robust Backdoor Detection for Deep Learning via Topological Evolution Dynamics
  2023 · 1 citations
• Towards Model Extraction Attacks in GAN-Based Image Translation via Domain Shift Mitigation
  2024 · 1 citations
• DarkFed: A Data-Free Backdoor Attack in Federated Learning
  2024 · 1 citations
• Defending Jailbreak Attacks on Large Language Models via Manifold Trajectory Kinetics
  2026
• Erosion Attack for Adversarial Training to Enhance Semantic Segmentation Robustness
  2026
• UnlearnShield: Shielding Forgotten Privacy against Unlearning Inversion
  2026
• MARS: A Malignity-Aware Backdoor Defense in Federated Learning
  2025
• Dual-view Inference Attack: Machine Unlearning Amplifies Privacy Exposure
  2025
• Spa-VLM: Stealthy Poisoning Attacks on RAG-based VLM
  2025
• Masked Language Model Based Textual Adversarial Example Detection
  2023