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Methodology
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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
Searching for a Search Method: Benchmarking Search Algorithms for Generating NLP Adversarial Examples
EMNLP 2020
An Empirical Study on Model-agnostic Debiasing Strategies for Robust Natural Language Inference
EMNLP 2020
Generalization to Mitigate Synonym Substitution Attacks
EMNLP 2020
TextAttack: Lessons learned in designing Python frameworks for NLP
EMNLP 2020
Training with Noise Adversarial Network: A Generalization Method for Object Detection on Sonar Image
WACV 2020
Robust Facial Landmark Detection via Aggregation on Geometrically Manipulated Faces
WACV 2020
EyeGAN: Gaze-Preserving, Mask-Mediated Eye Image Synthesis
WACV 2020
Greedy Attack and Gumbel Attack: Generating Adversarial Examples for Discrete Data
JMLR 2020
Achieving Robustness in the Wild via Adversarial Mixing With Disentangled Representations
CVPR 2020
Revisiting Stochastic Extragradient
AISTATS 2020
A principled approach for generating adversarial images under non-smooth dissimilarity metrics
AISTATS 2020
Single-Step Adversarial Training With Dropout Scheduling
CVPR 2020
Universal Litmus Patterns: Revealing Backdoor Attacks in CNNs
CVPR 2020
Transferable, Controllable, and Inconspicuous Adversarial Attacks on Person Re-identification With Deep Mis-Ranking
CVPR 2020
Defending Against Model Stealing Attacks With Adaptive Misinformation
CVPR 2020
Adversarial robustness via robust low rank representations
NIPS 2020
Toward a Universal Model for Shape From Texture
CVPR 2020
Learn2Perturb: An End-to-End Feature Perturbation Learning to Improve Adversarial Robustness
CVPR 2020
C-MI-GAN : Estimation of Conditional Mutual Information using MinMax formulation
UAI 2020
DOA-GAN: Dual-Order Attentive Generative Adversarial Network for Image Copy-Move Forgery Detection and Localization
CVPR 2020
Adversarial Robustness: From Self-Supervised Pre-Training to Fine-Tuning
CVPR 2020
Modeling Biological Immunity to Adversarial Examples
CVPR 2020
Robust Deep Learning as Optimal Control: Insights and Convergence Guarantees
L4DC 2020
Towards Achieving Adversarial Robustness by Enforcing Feature Consistency Across Bit Planes
CVPR 2020
Reverse Perspective Network for Perspective-Aware Object Counting
CVPR 2020
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