Lingjuan Lyu

Towards Effective, Stealthy, and Persistent Backdoor Attacks Targeting Graph Foundation Models AAAI 2026 MixA: A Mixed Attention approach with Stable Lightweight Linear Attention to enhance Efficiency of Vision Transformers at the Edge ICCV 2025 Rethinking Byzantine Robustness in Federated Recommendation from Sparse Aggregation Perspective AAAI 2025 Exploit Gradient Skewness to Circumvent Byzantine Defenses for Federated Learning AAAI 2025 Defending against Indirect Prompt Injection by Instruction Detection EMNLP 2025 MLAN: Language-Based Instruction Tuning Preserves and Transfers Knowledge in Multimodal Language Models ACL 2025 Flexible, Efficient, and Stable Adversarial Attacks on Machine Unlearning ICML 2025 Enhancing Foundation Models with Federated Domain Knowledge Infusion ICML 2025 Stretching Each Dollar: Diffusion Training from Scratch on a Micro-Budget CVPR 2025 MLLM-as-a-Judge for Image Safety without Human Labeling CVPR 2025 CO-SPY: Combining Semantic and Pixel Features to Detect Synthetic Images by AI CVPR 2025 Six-CD: Benchmarking Concept Removals for Text-to-image Diffusion Models CVPR 2025 Argus: A Compact and Versatile Foundation Model for Vision CVPR 2025 Revisiting Source-Free Domain Adaptation: Insights into Representativeness, Generalization, and Variety CVPR 2025 Unlearning through Knowledge Overwriting: Reversible Federated Unlearning via Selective Sparse Adapter CVPR 2025 How to Evaluate and Mitigate IP Infringement in Visual Generative AI? ICML 2025 Personalized Federated Learning under Local Supervision ICCV 2025 How to Trace Latent Generative Model Generated Images without Artificial Watermark? ICML 2024 FedMef: Towards Memory-efficient Federated Dynamic Pruning CVPR 2024 A Simple Background Augmentation Method for Object Detection with Diffusion Model ECCV 2024 Finding a needle in a haystack: A Black-Box Approach to Invisible Watermark Detection ECCV 2024 Unveiling and Mitigating Memorization in Text-to-image Diffusion Models through Cross Attention ECCV 2024 PerceptAnon: Exploring the Human Perception of Image Anonymization Beyond Pseudonymization for GDPR ICML 2024 FedP3: Federated Personalized and Privacy-friendly Network Pruning under Model Heterogeneity ICLR 2024 Detecting, Explaining, and Mitigating Memorization in Diffusion Models ICLR 2024 Defending Against Weight-Poisoning Backdoor Attacks for Parameter-Efficient Fine-Tuning NAACL 2024 Protecting Split Learning by Potential Energy Loss IJCAI 2024 DIAGNOSIS: Detecting Unauthorized Data Usages in Text-to-image Diffusion Models ICLR 2024 FedWon: Triumphing Multi-domain Federated Learning Without Normalization ICLR 2024 FEDMEKI: A Benchmark for Scaling Medical Foundation Models via Federated Knowledge Injection NIPS 2024 FLoRA: Federated Fine-Tuning Large Language Models with Heterogeneous Low-Rank Adaptations NIPS 2024 pFedClub: Controllable Heterogeneous Model Aggregation for Personalized Federated Learning NIPS 2024 CURE4Rec: A Benchmark for Recommendation Unlearning with Deeper Influence NIPS 2024 DECO-Bench: Unified Benchmark for Decoupled Task-Agnostic Synthetic Data Release NIPS 2024 Bridging Model Heterogeneity in Federated Learning via Uncertainty-based Asymmetrical Reciprocity Learning ICML 2024 COALA: A Practical and Vision-Centric Federated Learning Platform ICML 2024 Effective Federated Graph Matching ICML 2024 Byzantine-Robust Learning on Heterogeneous Data via Gradient Splitting ICML 2023 Privacy Assessment on Reconstructed Images: Are Existing Evaluation Metrics Faithful to Human Perception? NIPS 2023 UltraRE: Enhancing RecEraser for Recommendation Unlearning via Error Decomposition NIPS 2023 Is Heterogeneity Notorious? Taming Heterogeneity to Handle Test-Time Shift in Federated Learning NIPS 2023 Towards Personalized Federated Learning via Heterogeneous Model Reassembly NIPS 2023 Where Did I Come From? Origin Attribution of AI-Generated Images NIPS 2023 Defending against Backdoor Attacks in Natural Language Generation AAAI 2023 Delving into the Adversarial Robustness of Federated Learning AAAI 2023 Are You Copying My Model? Protecting the Copyright of Large Language Models for EaaS via Backdoor Watermark ACL 2023 GNN-SL: Sequence Labeling Based on Nearest Examples via GNN ACL 2023 TARGET: Federated Class-Continual Learning via Exemplar-Free Distillation ICCV 2023 The Perils of Learning From Unlabeled Data: Backdoor Attacks on Semi-supervised Learning ICCV 2023 MAS: Towards Resource-Efficient Federated Multiple-Task Learning ICCV 2023 Towards Robustness Certification Against Universal Perturbations ICLR 2023 MECTA: Memory-Economic Continual Test-Time Model Adaptation ICLR 2023 Deja Vu: Continual Model Generalization for Unseen Domains ICLR 2023 IDEAL: Query-Efficient Data-Free Learning from Black-Box Models ICLR 2023 MocoSFL: enabling cross-client collaborative self-supervised learning ICLR 2023 Fast Federated Machine Unlearning with Nonlinear Functional Theory ICML 2023 Revisiting Data-Free Knowledge Distillation with Poisoned Teachers ICML 2023 Reconstructive Neuron Pruning for Backdoor Defense ICML 2023 Dimension-independent Certified Neural Network Watermarks via Mollifier Smoothing ICML 2023 RAIN: RegulArization on Input and Network for Black-Box Domain Adaptation IJCAI 2023 FedSampling: A Better Sampling Strategy for Federated Learning IJCAI 2023 Reducing Communication for Split Learning by Randomized Top-k Sparsification IJCAI 2023 A Pathway Towards Responsible AI Generated Content IJCAI 2023 Student Surpasses Teacher: Imitation Attack for Black-Box NLP APIs COLING 2022 Fine-mixing: Mitigating Backdoors in Fine-tuned Language Models EMNLP 2022 Extracted BERT Model Leaks More Information than You Think! EMNLP 2022 Privacy for Free: How does Dataset Condensation Help Privacy? ICML 2022 Accelerated Federated Learning with Decoupled Adaptive Optimization ICML 2022 Protecting Intellectual Property of Language Generation APIs with Lexical Watermark AAAI 2022 DENSE: Data-Free One-Shot Federated Learning NIPS 2022 Outsourcing Training without Uploading Data via Efficient Collaborative Open-Source Sampling NIPS 2022 Prompt Certified Machine Unlearning with Randomized Gradient Smoothing and Quantization NIPS 2022 FairVFL: A Fair Vertical Federated Learning Framework with Contrastive Adversarial Learning NIPS 2022 CATER: Intellectual Property Protection on Text Generation APIs via Conditional Watermarks NIPS 2022 CalFAT: Calibrated Federated Adversarial Training with Label Skewness NIPS 2022 Vertically Federated Graph Neural Network for Privacy-Preserving Node Classification IJCAI 2022 Data-Free Adversarial Knowledge Distillation for Graph Neural Networks IJCAI 2022 How to Inject Backdoors with Better Consistency: Logit Anchoring on Clean Data ICLR 2022 Model Extraction and Adversarial Transferability, Your BERT is Vulnerable! NAACL 2021 Exploiting Data Sparsity in Secure Cross-Platform Social Recommendation NIPS 2021 Anti-Backdoor Learning: Training Clean Models on Poisoned Data NIPS 2021 Federated Model Distillation with Noise-Free Differential Privacy IJCAI 2021 Neural Attention Distillation: Erasing Backdoor Triggers from Deep Neural Networks ICLR 2021 Gradient Driven Rewards to Guarantee Fairness in Collaborative Machine Learning NIPS 2021 Differentially Private Representation for NLP: Formal Guarantee and An Empirical Study on Privacy and Fairness EMNLP 2020