Co-occurring keywords · papers mentioning both
Papers
PatchZero: Defending Against Adversarial Patch Attacks by Detecting and Zeroing the Patch
WACV 2023
Phase-aware Adversarial Defense for Improving Adversarial Robustness
ICML 2023
Preventing Attacks in Interbank Credit Rating with Selective-aware Graph Neural Network
IJCAI 2023
Privacy-Preserving Face Recognition Using Random Frequency Components
ICCV 2023
Probabilistic Categorical Adversarial Attack and Adversarial Training
ICML 2023
Provable Defense Against Geometric Transformations
ICLR 2023
Raising the Cost of Malicious AI-Powered Image Editing
ICML 2023
RECESS Vaccine for Federated Learning: Proactive Defense Against Model Poisoning Attacks
NeurIPS 2023
Setting the Trap: Capturing and Defeating Backdoors in Pretrained Language Models through Honeypots
NeurIPS 2023
Similarizing the Influence of Words with Contrastive Learning to Defend Word-level Adversarial Text Attack
ACL 2023
TextShield: Beyond Successfully Detecting Adversarial Sentences in text classification
ICLR 2023
The Best Defense Is a Good Offense: Adversarial Augmentation Against Adversarial Attacks
CVPR 2023
Toward Robust Diagnosis: A Contour Attention Preserving Adversarial Defense for COVID-19 Detection
AAAI 2023
Towards Interpreting and Utilizing Symmetry Property in Adversarial Examples
AAAI 2023
Training on Foveated Images Improves Robustness to Adversarial Attacks
NeurIPS 2023
Understanding and Defending Patched-based Adversarial Attacks for Vision Transformer
ICML 2023
Understanding and Improving Ensemble Adversarial Defense
NeurIPS 2023
XRand: Differentially Private Defense against Explanation-Guided Attacks
AAAI 2023
A Closer Look at the Adversarial Robustness of Deep Equilibrium Models
NeurIPS 2022
Adversarial Attack and Defense for Non-Parametric Two-Sample Tests
ICML 2022
Adversarial Attack on Attackers: Post-Process to Mitigate Black-Box Score-Based Query Attacks
NeurIPS 2022
Adversarial Text Normalization
NAACL 2022
Are Defenses for Graph Neural Networks Robust?
NeurIPS 2022
Are You Stealing My Model? Sample Correlation for Fingerprinting Deep Neural Networks
NeurIPS 2022
A Unified Evaluation of Textual Backdoor Learning: Frameworks and Benchmarks
NeurIPS 2022