Adversarial Learning
5,204 papers
Papers per year
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6
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5
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18
87
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168
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Papers
Breaking a Classical Barrier for Classifying Arbitrary Test Examples in the Quantum Model
AISTATS 2023
Breaking Temporal Consistency: Generating Video Universal Adversarial Perturbations Using Image Models
ICCV 2023
Bridge the Gap Between CV and NLP! A Gradient-based Textual Adversarial Attack Framework
ACL 2023
Bridging the Gap between Native Text and Translated Text through Adversarial Learning: A Case Study on Cross-Lingual Event Extraction
EACL 2023
Byzantine-Robust Learning on Heterogeneous Data via Gradient Splitting
ICML 2023
Calibrated Stackelberg Games: Learning Optimal Commitments Against Calibrated Agents
NeurIPS 2023
CamoPatch: An Evolutionary Strategy for Generating Camoflauged Adversarial Patches
NeurIPS 2023
Canary in a Coalmine: Better Membership Inference with Ensembled Adversarial Queries
ICLR 2023
CASN:Class-Aware Score Network for Textual Adversarial Detection
ACL 2023
CAT: Closed-loop Adversarial Training for Safe End-to-End Driving
CoRL 2023
CDMA: A Practical Cross-Device Federated Learning Algorithm for General Minimax Problems
AAAI 2023
Center-Aware Adversarial Augmentation for Single Domain Generalization
WACV 2023
(Certified!!) Adversarial Robustness for Free!
ICLR 2023
Certified Defences Against Adversarial Patch Attacks on Semantic Segmentation
ICLR 2023
Certified Robustness via Dynamic Margin Maximization and Improved Lipschitz Regularization
NeurIPS 2023
Certified Robust Neural Networks: Generalization and Corruption Resistance
ICML 2023
CFA: Class-Wise Calibrated Fair Adversarial Training
CVPR 2023
Chameleon: Adapting to Peer Images for Planting Durable Backdoors in Federated Learning
ICML 2023
Character As Pixels: A Controllable Prompt Adversarial Attacking Framework for Black-Box Text Guided Image Generation Models
IJCAI 2023
Characterizing Internal Evasion Attacks in Federated Learning
AISTATS 2023
Characterizing the Impacts of Instances on Robustness
ACL 2023
Characterizing the Optimal $0-1$ Loss for Multi-class Classification with a Test-time Attacker
NeurIPS 2023
Chasing All-Round Graph Representation Robustness: Model, Training, and Optimization
ICLR 2023
Choosing Well Your Opponents: How to Guide the Synthesis of Programmatic Strategies
IJCAI 2023
Clean-image Backdoor: Attacking Multi-label Models with Poisoned Labels Only
ICLR 2023