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Deep Learning
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Adversarial Learning
2063 directly classified papers
Papers per year
2010: 2
2014: 1
2015: 2
2016: 6
2017: 34
2018: 132
2019: 216
2020: 301
2021: 296
2022: 301
2023: 239
2024: 276
2025: 254
2026: 3
Papers
Ensemble-Based Blackbox Attacks on Dense Prediction
CVPR 2023
One-vs-the-Rest Loss to Focus on Important Samples in Adversarial Training
ICML 2023
GAT: Guided Adversarial Training with Pareto-optimal Auxiliary Tasks
ICML 2023
T-SEA: Transfer-Based Self-Ensemble Attack on Object Detection
CVPR 2023
Certified Robust Neural Networks: Generalization and Corruption Resistance
ICML 2023
On the Functional Similarity of Robust and Non-Robust Neural Representations
ICML 2023
Sequential Training of GANs Against GAN-Classifiers Reveals Correlated "Knowledge Gaps" Present Among Independently Trained GAN Instances
CVPR 2023
Improving the Transferability of Adversarial Samples by Path-Augmented Method
CVPR 2023
Robust Multi-Agent Coordination via Evolutionary Generation of Auxiliary Adversarial Attackers
AAAI 2023
Balanced Energy Regularization Loss for Out-of-Distribution Detection
CVPR 2023
CAP: Robust Point Cloud Classification via Semantic and Structural Modeling
CVPR 2023
FIT BUT at SemEval-2023 Task 12: Sentiment Without Borders - Multilingual Domain Adaptation for Low-Resource Sentiment Classification
ACL 2023
Reliable Robustness Evaluation via Automatically Constructed Attack Ensembles
AAAI 2023
StyLess: Boosting the Transferability of Adversarial Examples
CVPR 2023
Trade-Off Between Robustness and Accuracy of Vision Transformers
CVPR 2023
Rate Gradient Approximation Attack Threats Deep Spiking Neural Networks
CVPR 2023
BiasAdv: Bias-Adversarial Augmentation for Model Debiasing
CVPR 2023
Detecting Adversarial Samples through Sharpness of Loss Landscape
ACL 2023
INTapt: Information-Theoretic Adversarial Prompt Tuning for Enhanced Non-Native Speech Recognition
ACL 2023
Transferable Adversarial Attacks on Vision Transformers With Token Gradient Regularization
CVPR 2023
Neural Topic Modeling based on Cycle Adversarial Training and Contrastive Learning
ACL 2023
Adversarial Training for Low-Resource Disfluency Correction
ACL 2023
Untargeted Attack against Federated Recommendation Systems via Poisonous Item Embeddings and the Defense
AAAI 2023
Architectural Backdoors in Neural Networks
CVPR 2023
Impact of Adversarial Training on Robustness and Generalizability of Language Models
ACL 2023
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