conftrace
_
Papers
Trends
Conferences
Explore
Authors
Papers
Trends
Conferences
Explore
Authors
Topics
Keywords
Achievements
← Learning Types
Machine Learning
›
Learning Types
›
Adversarial Learning
4,854 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
Fast Adversarial Training with Smooth Convergence
ICCV 2023
Adversarial Learning for Feature Shift Detection and Correction
NIPS 2023
Unlearnable Clusters: Towards Label-Agnostic Unlearnable Examples
CVPR 2023
Probabilistically robust conformal prediction
UAI 2023
Are Personalized Stochastic Parrots More Dangerous? Evaluating Persona Biases in Dialogue Systems
EMNLP 2023
Discrete Point-Wise Attack Is Not Enough: Generalized Manifold Adversarial Attack for Face Recognition
CVPR 2023
Robust Counterfactual Explanations for Neural Networks With Probabilistic Guarantees
ICML 2023
How do humans perceive adversarial text? A reality check on the validity and naturalness of word-based adversarial attacks
ACL 2023
CodeAttack: Code-Based Adversarial Attacks for Pre-trained Programming Language Models
AAAI 2023
On Adversarial Robustness of Demographic Fairness in Face Attribute Recognition
IJCAI 2023
Cooperative and Adversarial Learning: Co-enhancing Discriminability and Transferability in Domain Adaptation
AAAI 2023
Competition or Cooperation? Exploring Unlabeled Data via Challenging Minimax Game for Semi-supervised Relation Extraction
AAAI 2023
Randomized Adversarial Training via Taylor Expansion
CVPR 2023
ZBL2W at SemEval-2023 Task 9: A Multilingual Fine-tuning Model with Data Augmentation for Tweet Intimacy Analysis
ACL 2023
From Robustness to Privacy and Back
ICML 2023
Tight Certification of Adversarially Trained Neural Networks via Nonconvex Low-Rank Semidefinite Relaxations
ICML 2023
An Analysis of Robustness of Non-Lipschitz Networks
JMLR 2023
Unfooling Perturbation-Based Post Hoc Explainers
AAAI 2023
MADG: Margin-based Adversarial Learning for Domain Generalization
NIPS 2023
Towards Robust and Safe Reinforcement Learning with Benign Off-policy Data
ICML 2023
Hiding Visual Information via Obfuscating Adversarial Perturbations
ICCV 2023
Learning Fine-Grained Features for Pixel-Wise Video Correspondences
ICCV 2023
Character As Pixels: A Controllable Prompt Adversarial Attacking Framework for Black-Box Text Guided Image Generation Models
IJCAI 2023
IPMix: Label-Preserving Data Augmentation Method for Training Robust Classifiers
NIPS 2023
DSRM: Boost Textual Adversarial Training with Distribution Shift Risk Minimization
ACL 2023
<
1
…
75
76
77
…
195
>