Co-occurring keywords · papers mentioning both
Papers
Adversarial Examples Might be Avoidable: The Role of Data Concentration in Adversarial Robustness
NeurIPS 2023
Adversarial Finetuning with Latent Representation Constraint to Mitigate Accuracy-Robustness Tradeoff
ICCV 2023
Adversarial Framework with Certified Robustness for Time-Series Domain via Statistical Features (Extended Abstract)
IJCAI 2023
Adversarial Local Distribution Regularization for Knowledge Distillation
WACV 2023
Adversarial Noises Are Linearly Separable for (Nearly) Random Neural Networks
AISTATS 2023
Adversarial Parameter Attack on Deep Neural Networks
ICML 2023
An Adaptive Model Ensemble Adversarial Attack for Boosting Adversarial Transferability
ICCV 2023
Annealing Genetic-based Preposition Substitution for Text Rubbish Example Generation
IJCAI 2023
Are aligned neural networks adversarially aligned?
NeurIPS 2023
A Theory of Transfer-Based Black-Box Attacks: Explanation and Implications
NeurIPS 2023
Backpropagation Path Search On Adversarial Transferability
ICCV 2023
BadTrack: A Poison-Only Backdoor Attack on Visual Object Tracking
NeurIPS 2023
Benchmarking and Analyzing Robust Point Cloud Recognition: Bag of Tricks for Defending Adversarial Examples
ICCV 2023
Beyond Black-Boxes: Teaching Complex Machine Learning Ideas through Scaffolded Interactive Activities
AAAI 2023
Black-Box Adversarial Attack on Time Series Classification
AAAI 2023
Boosting Adversarial Transferability by Achieving Flat Local Maxima
NeurIPS 2023
Boosting Adversarial Transferability via Gradient Relevance Attack
ICCV 2023
Breeding Machine Translations: Evolutionary approach to survive and thrive in the world of automated evaluation
ACL 2023
CamoPatch: An Evolutionary Strategy for Generating Camoflauged Adversarial Patches
NeurIPS 2023
CDTA: A Cross-Domain Transfer-Based Attack with Contrastive Learning
AAAI 2023
Certified Defense for Content Based Image Retrieval
WACV 2023
CGBA: Curvature-aware Geometric Black-box Attack
ICCV 2023
Characterizing the Optimal $0-1$ Loss for Multi-class Classification with a Test-time Attacker
NeurIPS 2023
Closer Look at the Transferability of Adversarial Examples: How They Fool Different Models Differently
WACV 2023
Content-based Unrestricted Adversarial Attack
NeurIPS 2023