Co-occurring keywords · papers mentioning both
Papers
Query-Based Adversarial Prompt Generation
NeurIPS 2024
Query-Efficient Textual Adversarial Example Generation for Black-Box Attacks
NAACL 2024
Rethinking Model Ensemble in Transfer-based Adversarial Attacks
ICLR 2024
Robustness Verification of Multi-Class Tree Ensembles
AAAI 2024
Semantic Sensitivities and Inconsistent Predictions: Measuring the Fragility of NLI Models
EACL 2024
SlowTrack: Increasing the Latency of Camera-Based Perception in Autonomous Driving Using Adversarial Examples
AAAI 2024
The Best Defense is Attack: Repairing Semantics in Textual Adversarial Examples
EMNLP 2024
Towards Trustworthy Deep Learning
AAAI 2024
Towards Understanding Factual Knowledge of Large Language Models
ICLR 2024
Transferability Bound Theory: Exploring Relationship between Adversarial Transferability and Flatness
NeurIPS 2024
Transferable Adversarial Attacks for Object Detection Using Object-Aware Significant Feature Distortion
AAAI 2024
Transferable Adversarial Attacks on SAM and Its Downstream Models
NeurIPS 2024
Trustworthy Machine Learning under Imperfect Data
IJCAI 2024
TTTS: Tree Test Time Simulation for Enhancing Decision Tree Robustness against Adversarial Examples
AAAI 2024
United We Stand, Divided We Fall: Fingerprinting Deep Neural Networks via Adversarial Trajectories
NeurIPS 2024
Watermark-embedded Adversarial Examples for Copyright Protection against Diffusion Models
CVPR 2024
Where and How to Attack? A Causality-Inspired Recipe for Generating Counterfactual Adversarial Examples
AAAI 2024
Wide Two-Layer Networks can Learn from Adversarial Perturbations
NeurIPS 2024
XAI-Attack: Utilizing Explainable AI to Find Incorrectly Learned Patterns for Black-Box Adversarial Example Creation
COLING 2024
A Black-Box Attack on Code Models via Representation Nearest Neighbor Search
EMNLP 2023
Advancing Deep Metric Learning With Adversarial Robustness
ACML 2023
Advancing Example Exploitation Can Alleviate Critical Challenges in Adversarial Training
ICCV 2023
Adversarial Example Does Good: Preventing Painting Imitation from Diffusion Models via Adversarial Examples
ICML 2023
Adversarial Examples Are Not Real Features
NeurIPS 2023
Adversarial Examples Exist in Two-Layer ReLU Networks for Low Dimensional Linear Subspaces
NeurIPS 2023