Co-occurring keywords · papers mentioning both
Papers
DENL: Diverse Ensemble and Noisy Logits for Improved Robustness of Neural Networks
ACML 2023
Designing Robust Transformers using Robust Kernel Density Estimation
NeurIPS 2023
Detecting Adversarial Directions in Deep Reinforcement Learning to Make Robust Decisions
ICML 2023
Detecting Adversarial Samples through Sharpness of Loss Landscape
ACL 2023
DiffAttack: Evasion Attacks Against Diffusion-Based Adversarial Purification
NeurIPS 2023
Dimension-independent Certified Neural Network Watermarks via Mollifier Smoothing
ICML 2023
DIP: Dead code Insertion based Black-box Attack for Programming Language Model
ACL 2023
Discrete Point-Wise Attack Is Not Enough: Generalized Manifold Adversarial Attack for Face Recognition
CVPR 2023
DisGUIDE: Disagreement-Guided Data-Free Model Extraction
AAAI 2023
Distracting Downpour: Adversarial Weather Attacks for Motion Estimation
ICCV 2023
Do Adaptive Active Attacks Pose Greater Risk Than Static Attacks?
WACV 2023
Don’t Retrain, Just Rewrite: Countering Adversarial Perturbations by Rewriting Text
ACL 2023
DoubleDeceiver: Deceiving the Speaker Verification System Protected by Spoofing Countermeasures
Interspeech 2023
Dual Student Networks for Data-Free Model Stealing
ICLR 2023
Dynamic Generative Targeted Attacks With Pattern Injection
CVPR 2023
Dynamic Transformers Provide a False Sense of Efficiency
ACL 2023
Efficient Adversarial Attacks on Online Multi-agent Reinforcement Learning
NeurIPS 2023
Efficient Loss Function by Minimizing the Detrimental Effect of Floating-Point Errors on Gradient-Based Attacks
CVPR 2023
Enhancing the Self-Universality for Transferable Targeted Attacks
CVPR 2023
Ensemble-Based Blackbox Attacks on Dense Prediction
CVPR 2023
Evading DeepFake Detectors via Adversarial Statistical Consistency
CVPR 2023
Evading Forensic Classifiers With Attribute-Conditioned Adversarial Faces
CVPR 2023
Evaluating and Enhancing the Robustness of Code Pre-trained Models through Structure-Aware Adversarial Samples Generation
EMNLP 2023
Expanding Scope: Adapting English Adversarial Attacks to Chinese
ACL 2023
Explainability-Aware One Point Attack for Point Cloud Neural Networks
WACV 2023