Adversarial Learning
5,204 papers
Papers per year
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18
87
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168
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Papers
Layerwise universal adversarial attack on NLP models
ACL 2023
LEA2: A Lightweight Ensemble Adversarial Attack via Non-overlapping Vulnerable Frequency Regions
ICCV 2023
LeadFL: Client Self-Defense against Model Poisoning in Federated Learning
ICML 2023
Learning 3D-Aware Image Synthesis With Unknown Pose Distribution
CVPR 2023
Learning Adversarially Robust Sparse Networks via Weight Reparameterization
AAAI 2023
Learning Fine-Grained Features for Pixel-Wise Video Correspondences
ICCV 2023
Learning Polysemantic Spoof Trace: A Multi-Modal Disentanglement Network for Face Anti-spoofing
AAAI 2023
Learning Provably Robust Estimators for Inverse Problems via Jittering
NeurIPS 2023
Learning Realistic Traffic Agents in Closed-loop
CoRL 2023
Learning the Legibility of Visual Text Perturbations
EACL 2023
Learning to Ignore Adversarial Attacks
EACL 2023
LeNo: Adversarial Robust Salient Object Detection Networks with Learnable Noise
AAAI 2023
Let Graph Be the Go Board: Gradient-Free Node Injection Attack for Graph Neural Networks via Reinforcement Learning
AAAI 2023
Leveraging Contaminated Datasets to Learn Clean-Data Distribution with Purified Generative Adversarial Networks
AAAI 2023
Leveraging Local Patch Differences in Multi-Object Scenes for Generative Adversarial Attacks
WACV 2023
Lion: Adversarial Distillation of Proprietary Large Language Models
EMNLP 2023
Local-Global Defense against Unsupervised Adversarial Attacks on Graphs
AAAI 2023
LogicAttack: Adversarial Attacks for Evaluating Logical Consistency of Natural Language Inference
EMNLP 2023
MADG: Margin-based Adversarial Learning for Domain Generalization
NeurIPS 2023
Malafide: a novel adversarial convolutive noise attack against deepfake and spoofing detection systems
Interspeech 2023
Manipulating Transfer Learning for Property Inference
CVPR 2023
Margin-based Neural Network Watermarking
ICML 2023
Marich: A Query-efficient Distributionally Equivalent Model Extraction Attack
NeurIPS 2023
MarSan at SemEval-2023 Task 10: Can Adversarial Training with help of a Graph Convolutional Network Detect Explainable Sexism?
SemEval 2023
[MASK] Insertion: a robust method for anti-adversarial attacks
EACL 2023