| Effective Ambiguity Attack Against Passport-based DNN Intellectual Property Protection Schemes through Fully Connected Layer Substitution |
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| Progressive Open Space Expansion for Open-Set Model Attribution |
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| Breaching FedMD: Image Recovery via Paired-Logits Inversion Attack |
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| DartBlur: Privacy Preservation with Detection Artifact Suppression |
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| Reinforcement Learning-based Black-Box Model Inversion Attacks |
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| Model-Agnostic Gender Debiased Image Captioning |
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Uncurated Image-Text Datasets: Shedding Light on Demographic Bias
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AltFreezing for more General Video Face Forgery Detection
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| Make Landscape Flatter in Differentially Private Federated Learning |
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| DynaFed: Tackling Client Data Heterogeneity with Global Dynamics |
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| Re-Thinking Model Inversion Attacks Against Deep Neural Networks |
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| Safe Latent Diffusion: Mitigating Inappropriate Degeneration in Diffusion Models |
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| TrojViT: Trojan Insertion in Vision Transformers |
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| Difficulty-based Sampling for Debiased Contrastive Representation Learning |
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| Model Barrier: A Compact Un-Transferable Isolation Domain for Model Intellectual Property Protection |
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| Fair Scratch Tickets: Finding Fair Sparse Networks without Weight Training |
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| CLIP2Protect: Protecting Facial Privacy using Text-Guided Makeup via Adversarial Latent Search |
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| Bias in Pruned Vision Models: In-Depth Analysis and Countermeasures |
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| Learning to Generate Image Embeddings with User-Level Differential Privacy |
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| Bias Mimicking: A Simple Sampling Approach for Bias Mitigation |
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| CaPriDe Learning: Confidential and Private Decentralized Learning based on Encryption-Friendly Distillation Loss |
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| DeAR: Debiasing Vision-Language Models with Additive Residuals |
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Deep Deterministic Uncertainty: A New Simple Baseline
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| Manipulating Transfer Learning for Property Inference |
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| Training Debiased Subnetworks with Contrastive Weight Pruning |
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| Diffusion Art or Digital Forgery? Investigating Data Replication in Diffusion Models |
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| STDLens: Model Hijacking-Resilient Federated Learning for Object Detection |
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| Architectural Backdoors in Neural Networks |
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| MEDIC: Remove Model Backdoors via Importance Driven Cloning |
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| Learning Debiased Representations via Conditional Attribute Interpolation |
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