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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
• Secure Transfer Learning: Training Clean Models Against Backdoor In (both) Pre-trained Encoders And Downstream Datasets
  2025 · 2 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
• MARS: A Malignity-Aware Backdoor Defense in Federated Learning
  2025
• Spa-VLM: Stealthy Poisoning Attacks on RAG-based VLM
  2025
• Masked Language Model Based Textual Adversarial Example Detection
  2023
• Revisiting Gradient Pruning: A Dual Realization for Defending against Gradient Attacks
  2024
• ECLIPSE: Expunging Clean-label Indiscriminate Poisons via Sparse Diffusion Purification
  2024