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Methodology
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Machine Learning
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Adversarial Learning
4854 directly classified papers
Papers per year
2006: 3
2007: 1
2009: 4
2010: 6
2011: 3
2012: 5
2013: 10
2014: 6
2015: 8
2016: 18
2017: 87
2018: 261
2019: 551
2020: 588
2021: 703
2022: 633
2023: 672
2024: 579
2025: 561
2026: 155
Papers
You Only Propagate Once: Accelerating Adversarial Training via Maximal Principle
NIPS 2019
A New Defense Against Adversarial Images: Turning a Weakness into a Strength
NIPS 2019
Adversarial Unsupervised Representation Learning for Activity Time-Series
AAAI 2019
Perceptual Pyramid Adversarial Networks for Text-to-Image Synthesis
AAAI 2019
Non-Local Context Encoder: Robust Biomedical Image Segmentation against Adversarial Attacks
AAAI 2019
Boundless: Generative Adversarial Networks for Image Extension
ICCV 2019
Semantics-Enhanced Adversarial Nets for Text-to-Image Synthesis
ICCV 2019
FDA: Feature Disruptive Attack
ICCV 2019
PU-GAN: A Point Cloud Upsampling Adversarial Network
ICCV 2019
CIIDefence: Defeating Adversarial Attacks by Fusing Class-Specific Image Inpainting and Image Denoising
ICCV 2019
Targeted Mismatch Adversarial Attack: Query With a Flower to Retrieve the Tower
ICCV 2019
Guessing Smart: Biased Sampling for Efficient Black-Box Adversarial Attacks
ICCV 2019
Defending Against Universal Perturbations With Shared Adversarial Training
ICCV 2019
Universal Perturbation Attack Against Image Retrieval
ICCV 2019
A Geometry-Inspired Decision-Based Attack
ICCV 2019
The LogBarrier Adversarial Attack: Making Effective Use of Decision Boundary Information
ICCV 2019
Attacking Data Transforming Learners at Training Time
AAAI 2019
Scalable Verified Training for Provably Robust Image Classification
ICCV 2019
AdvIT: Adversarial Frames Identifier Based on Temporal Consistency in Videos
ICCV 2019
Talking Face Generation by Adversarially Disentangled Audio-Visual Representation
AAAI 2019
On Strength Adjustment for MCTS-Based Programs
AAAI 2019
Adversarial Feedback Loop
ICCV 2019
Sparse Adversarial Perturbations for Videos
AAAI 2019
Adversarial Dropout for Recurrent Neural Networks
AAAI 2019
Policy Poisoning in Batch Reinforcement Learning and Control
NIPS 2019
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