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Methodology
← Learning Types
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
Probing the Robustness of Trained Metrics for Conversational Dialogue Systems
ACL 2022
Logit Perturbation
AAAI 2022
Boosting the Transferability of Video Adversarial Examples via Temporal Translation
AAAI 2022
Towards Efficient Data Free Black-Box Adversarial Attack
CVPR 2022
Certified Robustness via Randomized Smoothing over Multiplicative Parameters of Input Transformations
IJCAI 2022
Online Evasion Attacks on Recurrent Models:The Power of Hallucinating the Future
IJCAI 2022
Data-Free Adversarial Knowledge Distillation for Graph Neural Networks
IJCAI 2022
FedCG: Leverage Conditional GAN for Protecting Privacy and Maintaining Competitive Performance in Federated Learning
IJCAI 2022
Learning to Generate Image Source-Agnostic Universal Adversarial Perturbations
IJCAI 2022
Domain Adversarial Learning for Color Constancy
IJCAI 2022
Improving Transferability of Adversarial Examples with Virtual Step and Auxiliary Gradients
IJCAI 2022
A Unified Framework for Adversarial Attack and Defense in Constrained Feature Space
IJCAI 2022
Cost Ensemble with Gradient Selecting for GANs
IJCAI 2022
AQT: Adversarial Query Transformers for Domain Adaptive Object Detection
IJCAI 2022
Model Stealing Defense against Exploiting Information Leak through the Interpretation of Deep Neural Nets
IJCAI 2022
CAT: Customized Adversarial Training for Improved Robustness
IJCAI 2022
Improving Video Model Transfer With Dynamic Representation Learning
CVPR 2022
Can You Spot the Chameleon? Adversarially Camouflaging Images From Co-Salient Object Detection
CVPR 2022
Dancing Under the Stars: Video Denoising in Starlight
CVPR 2022
Enhancing Adversarial Robustness for Deep Metric Learning
CVPR 2022
DO-GAN: A Double Oracle Framework for Generative Adversarial Networks
CVPR 2022
Two Coupled Rejection Metrics Can Tell Adversarial Examples Apart
CVPR 2022
Defensive Patches for Robust Recognition in the Physical World
CVPR 2022
Robust Optimization As Data Augmentation for Large-Scale Graphs
CVPR 2022
Sparse Non-Local CRF
CVPR 2022
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