Adversarial Learning
5,204 papers
Papers per year
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Papers
DiffAttack: Evasion Attacks Against Diffusion-Based Adversarial Purification
NeurIPS 2023
Diffusion-Based Adversarial Sample Generation for Improved Stealthiness and Controllability
NeurIPS 2023
Diffusion-GAN: Training GANs with Diffusion
ICLR 2023
DIP: Dead code Insertion based Black-box Attack for Programming Language Model
ACL 2023
Directed Chain Generative Adversarial Networks
ICML 2023
Discrete Point-Wise Attack Is Not Enough: Generalized Manifold Adversarial Attack for Face Recognition
CVPR 2023
Discriminator-Cooperated Feature Map Distillation for GAN Compression
CVPR 2023
Disentangled Representation Learning for Multilingual Speaker Recognition
Interspeech 2023
DisGUIDE: Disagreement-Guided Data-Free Model Extraction
AAAI 2023
Distracting Downpour: Adversarial Weather Attacks for Motion Estimation
ICCV 2023
Diversify and Disambiguate: Out-of-Distribution Robustness via Disagreement
ICLR 2023
Divide, Evaluate, and Refine: Evaluating and Improving Text-to-Image Alignment with Iterative VQA Feedback
NeurIPS 2023
Do Adaptive Active Attacks Pose Greater Risk Than Static Attacks?
WACV 2023
Does Invariant Graph Learning via Environment Augmentation Learn Invariance?
NeurIPS 2023
Does Label Differential Privacy Prevent Label Inference Attacks?
AISTATS 2023
Do Invariances in Deep Neural Networks Align with Human Perception?
AAAI 2023
Domain adaptation using optimal transport for invariant learning using histopathology datasets
MIDL 2023
Domain Adaptation with Adversarial Training on Penultimate Activations
AAAI 2023
Don’t Retrain, Just Rewrite: Countering Adversarial Perturbations by Rewriting Text
ACL 2023
Do Perceptually Aligned Gradients Imply Robustness?
ICML 2023
DoubleDeceiver: Deceiving the Speaker Verification System Protected by Spoofing Countermeasures
Interspeech 2023
Doubly Adversarial Federated Bandits
ICML 2023
Downstream-agnostic Adversarial Examples
ICCV 2023
Drop Clause: Enhancing Performance, Robustness and Pattern Recognition Capabilities of the Tsetlin Machine
AAAI 2023
Dropout Is NOT All You Need to Prevent Gradient Leakage
AAAI 2023