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Adversarial Learning

2063 directly classified papers

Papers per year

Papers

Improving Adversarial Robustness via Mutual Information Estimation ICML 2022
Building Robust Ensembles via Margin Boosting ICML 2022
A Branch and Bound Framework for Stronger Adversarial Attacks of ReLU Networks ICML 2022
Understanding Robust Overfitting of Adversarial Training and Beyond ICML 2022
Not All Poisons are Created Equal: Robust Training against Data Poisoning ICML 2022
Diversified Adversarial Attacks based on Conjugate Gradient Method ICML 2022
Removing Batch Normalization Boosts Adversarial Training ICML 2022
Detecting Adversarial Examples Is (Nearly) As Hard As Classifying Them ICML 2022
Manipulating SHAP via Adversarial Data Perturbations (Student Abstract) AAAI 2022
Plug & Play Attacks: Towards Robust and Flexible Model Inversion Attacks ICML 2022
Demystifying the Adversarial Robustness of Random Transformation Defenses ICML 2022
InferES : A Natural Language Inference Corpus for Spanish Featuring Negation-Based Contrastive and Adversarial Examples COLING 2022
Bi-SimCut: A Simple Strategy for Boosting Neural Machine Translation NAACL 2022
Generating Authentic Adversarial Examples beyond Meaning-preserving with Doubly Round-trip Translation NAACL 2022
Embedding Hallucination for Few-shot Language Fine-tuning NAACL 2022
CAT: Customized Adversarial Training for Improved Robustness IJCAI 2022
Model Stealing Defense against Exploiting Information Leak through the Interpretation of Deep Neural Nets IJCAI 2022
AQT: Adversarial Query Transformers for Domain Adaptive Object Detection IJCAI 2022
Cost Ensemble with Gradient Selecting for GANs IJCAI 2022
A Unified Framework for Adversarial Attack and Defense in Constrained Feature Space IJCAI 2022
Improving Transferability of Adversarial Examples with Virtual Step and Auxiliary Gradients IJCAI 2022
Domain Adversarial Learning for Color Constancy IJCAI 2022
Learning to Generate Image Source-Agnostic Universal Adversarial Perturbations IJCAI 2022
SkeletonVis: Interactive Visualization for Understanding Adversarial Attacks on Human Action Recognition Models AAAI 2021
Adversarial Voice Conversion Against Neural Spoofing Detectors INTERSPEECH 2021