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ICCV-2023-Papers

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Fairness, Privacy, Ethics, Social-good, Transparency, Accountability in Vision

Section Papers Preprint Papers Papers with Open Code Papers with Video

Title Repo Paper Video
Enhancing Privacy Preservation in Federated Learning via Learning Rate Perturbation thecvf
TARGET: Federated Class-Continual Learning via Exemplar-Free Distillation GitHub thecvf
arXiv
FACTS: First Amplify Correlations and then Slice to Discover Bias GitHub thecvf
arXiv
Computation and Data Efficient Backdoor Attacks GitHub thecvf
Global Balanced Experts for Federated Long-Tailed Learning GitHub thecvf
Source-Free Domain Adaptive Human Pose Estimation GitHub thecvf
arXiv
Gender Artifacts in Visual Datasets GitHub Page
GitHub
thecvf
arXiv
FRAug: Tackling Federated Learning with Non-IID Features via Representation Augmentation thecvf
arXiv
zPROBE: Zero Peek Robustness Checks for Federated Learning thecvf
arXiv
Practical Membership Inference Attacks Against Large-Scale Multi-Modal Models: A Pilot Study GitHub thecvf
arXiv
FedPD: Federated Open Set Recognition with Parameter Disentanglement GitHub thecvf
MUter: Machine Unlearning on Adversarially Trained Models thecvf
Beyond Skin Tone: A Multidimensional Measure of Apparent Skin Color GitHub thecvf
arXiv
A Multidimensional Analysis of Social Biases in Vision Transformers GitHub thecvf
arXiv
Partition-and-Debias: Agnostic Biases Mitigation via a Mixture of Biases-Specific Experts GitHub thecvf
arXiv
Rethinking Data Distillation: Do not Overlook Calibration thecvf
arXiv
Mining Bias-Target Alignment from Voronoi Cells GitHub thecvf
arXiv
Better May not be Fairer: A Study on Subgroup Discrepancy in Image Classification GitHub thecvf
arXiv
GIFD: A Generative Gradient Inversion Method with Feature Domain Optimization GitHub thecvf
arXiv
Benchmarking Algorithmic Bias in Face Recognition: An Experimental Approach using Synthetic Faces and Human Evaluation thecvf
arXiv
FedPerfix: Towards Partial Model Personalization of Vision Transformers in Federated Learning GitHub thecvf
arXiv
Towards Attack-Tolerant Federated Learning via Critical Parameter Analysis GitHub thecvf
arXiv
What can Discriminator do? Towards Box-Free Ownership Verification of Generative Adversarial Networks GitHub thecvf
arXiv
Robust Heterogeneous Federated Learning under Data Corruption GitHub thecvf
Communication-Efficient Federated Learning with Single-Step Synthetic Features Compressor for Faster Convergence GitHub thecvf
arXiv
GPFL: Simultaneously Learning Global and Personalized Feature Information for Personalized Federated Learning GitHub thecvf
arXiv
MPCViT: Searching for Accurate and Efficient MPC-Friendly Vision Transformer with Heterogeneous Attention GitHub thecvf
arXiv
Identification of Systematic Errors of Image Classifiers on Rare Subgroups thecvf
arXiv
Adaptive Image Anonymization in the Context of Image Classification with Neural Networks thecvf
When do Curricula Work in Federated Learning? thecvf
arXiv
Domain Specified Optimization for Deployment Authorization thecvf
STPrivacy: Spatio-Temporal Privacy-Preserving Action Recognition thecvf
arXiv
SAL-ViT: Towards Latency Efficient Private Inference on ViT using Selective Attention Search with a Learnable Softmax Approximation thecvf
Generative Gradient Inversion via Over-Parameterized Networks in Federated Learning thecvf
Inspecting the Geographical Representativeness of Images from Text-to-Image Models thecvf
arXiv
Divide and Conquer: A Two-Step Method for High Quality Face De-Identification with Model Explainability thecvf
Exploring the Benefits of Visual Prompting in Differential Privacy GitHub thecvf
arXiv
Towards Fairness-Aware Adversarial Network Pruning thecvf
AutoReP: Automatic ReLU Replacement for Fast Private Network Inference GitHub thecvf
arXiv
Flatness-Aware Minimization for Domain Generalization thecvf
arXiv
Communication-Efficient Vertical Federated Learning with Limited Overlapping Samples GitHub Page thecvf
arXiv