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Papers
Isometric 3D Adversarial Examples in the Physical World
NeurIPS 2022
Label Leakage and Protection in Two-party Split Learning
ICLR 2022
Label-Only Model Inversion Attacks via Boundary Repulsion
CVPR 2022
LCANets: Lateral Competition Improves Robustness Against Corruption and Attack
ICML 2022
Learn2Weight: Parameter Adaptation against Similar-domain Adversarial Attacks
COLING 2022
Learning Coated Adversarial Camouflages for Object Detectors
IJCAI 2022
Learning to Generate Image Source-Agnostic Universal Adversarial Perturbations
IJCAI 2022
Learning Universal Adversarial Perturbation by Adversarial Example
AAAI 2022
Logically Consistent Adversarial Attacks for Soft Theorem Provers
IJCAI 2022
longhorns at DADC 2022: How many linguists does it take to fool a Question Answering model? A systematic approach to adversarial attacks.
NAACL 2022
Making Adversarial Examples More Transferable and Indistinguishable
AAAI 2022
Merry Go Round: Rotate a Frame and Fool a DNN
CVPR 2022
MExMI: Pool-based Active Model Extraction Crossover Membership Inference
NeurIPS 2022
MINIMAL: Mining Models for Universal Adversarial Triggers
AAAI 2022
MockingBERT: A Method for Retroactively Adding Resilience to NLP Models
COLING 2022
MORA: Improving Ensemble Robustness Evaluation with Model Reweighing Attack
NeurIPS 2022
Multi-Leader Congestion Games with an Adversary
AAAI 2022
NASPY: Automated Extraction of Automated Machine Learning Models
ICLR 2022
NaturalAdversaries: Can Naturalistic Adversaries Be as Effective as Artificial Adversaries?
EMNLP 2022
Natural Color Fool: Towards Boosting Black-box Unrestricted Attacks
NeurIPS 2022
NICGSlowDown: Evaluating the Efficiency Robustness of Neural Image Caption Generation Models
CVPR 2022
NRI-FGSM: An Efficient Transferable Adversarial Attack for Speaker Recognition Systems
Interspeech 2022
On Adversarial Robustness of Trajectory Prediction for Autonomous Vehicles
CVPR 2022
On Attacking Out-Domain Uncertainty Estimation in Deep Neural Networks
IJCAI 2022
On Global-view Based Defense via Adversarial Attack and Defense Risk Guaranteed Bounds
AISTATS 2022