Co-occurring keywords · papers mentioning both
Papers
Defending Against Patch-Based Backdoor Attacks on Self-Supervised Learning
CVPR 2023
Defending Backdoor Attacks on Vision Transformer via Patch Processing
AAAI 2023
Detecting Backdoors in Pre-Trained Encoders
CVPR 2023
DG3D: Generating High Quality 3D Textured Shapes by Learning to Discriminate Multi-Modal Diffusion-Renderings
ICCV 2023
Diffusion Adversarial Representation Learning for Self-supervised Vessel Segmentation
ICLR 2023
Dink-Net: Neural Clustering on Large Graphs
ICML 2023
Disentangled Representation Learning for Multilingual Speaker Recognition
Interspeech 2023
Distilling Universal and Joint Knowledge for Cross-Domain Model Compression on Time Series Data
IJCAI 2023
Do Invariances in Deep Neural Networks Align with Human Perception?
AAAI 2023
Domain Adaptive Object Detection for Autonomous Driving Under Foggy Weather
WACV 2023
Doubly Adversarial Federated Bandits
ICML 2023
Dual-Bridging With Adversarial Noise Generation for Domain Adaptive rPPG Estimation
CVPR 2023
Enhanced Multimodal Representation Learning With Cross-Modal KD
CVPR 2023
Enhancing Modality-Agnostic Representations via Meta-Learning for Brain Tumor Segmentation
ICCV 2023
ERASER: AdvERsArial Sensitive Element Remover for Image Privacy Preservation
AAAI 2023
Estimating Heterogeneous Treatment Effects: Mutual Information Bounds and Learning Algorithms
ICML 2023
FairLISA: Fair User Modeling with Limited Sensitive Attributes Information
NeurIPS 2023
Fake the Real: Backdoor Attack on Deep Speech Classification via Voice Conversion
Interspeech 2023
Feature-Space Bayesian Adversarial Learning Improved Malware Detector Robustness
AAAI 2023
Federated Linear Bandits with Finite Adversarial Actions
NeurIPS 2023
FedGame: A Game-Theoretic Defense against Backdoor Attacks in Federated Learning
NeurIPS 2023
FIANCEE: Faster Inference of Adversarial Networks via Conditional Early Exits
CVPR 2023
First- and Second-Order Bounds for Adversarial Linear Contextual Bandits
NeurIPS 2023
Focus on Query: Adversarial Mining Transformer for Few-Shot Segmentation
NeurIPS 2023
Follow-the-Perturbed-Leader Achieves Best-of-Both-Worlds for Bandit Problems
ALT 2023