Adversarial Learning
5,204 papers
Papers per year
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Papers
Federated Adversarial Learning: A Framework with Convergence Analysis
ICML 2023
Federated Robustness Propagation: Sharing Adversarial Robustness in Heterogeneous Federated Learning
AAAI 2023
FedGame: A Game-Theoretic Defense against Backdoor Attacks in Federated Learning
NeurIPS 2023
F&F Attack: Adversarial Attack against Multiple Object Trackers by Inducing False Negatives and False Positives
ICCV 2023
FFM: Injecting Out-of-Domain Knowledge via Factorized Frequency Modification
WACV 2023
Finding Actual Descent Directions for Adversarial Training
ICLR 2023
First- and Second-Order Bounds for Adversarial Linear Contextual Bandits
NeurIPS 2023
FLOAT: Fast Learnable Once-for-All Adversarial Training for Tunable Trade-Off Between Accuracy and Robustness
WACV 2023
Focus on Query: Adversarial Mining Transformer for Few-Shot Segmentation
NeurIPS 2023
Fooling Speaker Identification Systems with Adversarial Background Music
Interspeech 2023
Fraud’s Bargain Attacks to Textual Classifiers via Metropolis-Hasting Sampling (Student Abstract)
AAAI 2023
Free Lunch for Domain Adversarial Training: Environment Label Smoothing
ICLR 2023
Frequency-aware GAN for Adversarial Manipulation Generation
ICCV 2023
From Adversarial Arms Race to Model-centric Evaluation: Motivating a Unified Automatic Robustness Evaluation Framework
ACL 2023
From Robustness to Privacy and Back
ICML 2023
FVQA 2.0: Introducing Adversarial Samples into Fact-based Visual Question Answering
EACL 2023
GaitGCI: Generative Counterfactual Intervention for Gait Recognition
CVPR 2023
GALIP: Generative Adversarial CLIPs for Text-to-Image Synthesis
CVPR 2023
GAN-Based Domain Inference Attack
AAAI 2023
GANmouflage: 3D Object Nondetection With Texture Fields
CVPR 2023
GANTEE: Generative Adversarial Network for Taxonomy Enterance Evaluation
AAAI 2023
GAN You See Me? Enhanced Data Reconstruction Attacks against Split Inference
NeurIPS 2023
GAT: Guided Adversarial Training with Pareto-optimal Auxiliary Tasks
ICML 2023
Generalist: Decoupling Natural and Robust Generalization
CVPR 2023
Generalization Bounds for Adversarial Contrastive Learning
JMLR 2023