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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
DETONATE – A Benchmark for Text-to-Image Alignment and Kernelized Direct Preference Optimization
AAAI 2026
Data-Driven Lipschitz Continuity: A Cost-Effective Approach to Improve Adversarial Robustness
WACV 2026
UltraClean: A Simple Framework to Train Robust Neural Networks against Backdoor Attacks
WACV 2026
Mitigating Backdoor Attacks via Trigger Reconstruction and Model Hardening
WACV 2026
ToxiGAN: Toxic Data Augmentation via LLM-Guided Directional Adversarial Generation
EACL 2026
Revealing the Truth with ConLLM for Detecting Multi-Modal Deepfakes
EACL 2026
A Simple and Efficient Learning-Style Prompting for LLM Jailbreaking
EACL 2026
KvochurHegel at AbjadMed: Combining LDAM Loss and Adversarial Training for Arabic Medical Question-Answer Classification
EACL 2026
Thesis Proposal: Comparing Human and Model Perception of Writing Style under Controlled Perturbations
EACL 2026
ORSO QGen: Odds-Ratio Steerable Optimization for Controlling Question Generation
EACL 2026
Hacking Neural Evaluation Metrics with Single Hub Text
EACL 2026
AEON: Adaptive Embedding Optimized Noise for Robust Watermarking in Diffusion Models
WACV 2026
SAFER-AiD: Saccade-Assisted Foveal-peripheral vision Enhanced Reconstruction for Adversarial Defense
WACV 2026
Crafting Adversarial Inputs for Large Vision-Language Models Using Black-Box Optimization
EACL 2026
Align Video Diffusion Model with Online Video-Centric Preference Optimization
WACV 2026
Adversarial Pseudo-replay for Exemplar-free Class-incremental Learning
WACV 2026
SD-CSFL: A Synthetic Data-Driven Conformity Scoring Framework for Robust Federated Learning
WACV 2026
Phantom Menace: Exploring and Enhancing the Robustness of VLA Models Against Physical Sensor Attacks
AAAI 2026
AD2: Analysis and Detection of Adversarial Threats in Visual Perception for End-to-End Autonomous Driving Systems
WACV 2026
Adversarial Decoding: Generating Readable Documents for Adversarial Objectives
EACL 2026
Feature Compression May Be the Root Cause of Adversarial Fragility in Neural Network Classifiers (Student Abstract)
AAAI 2026
Distractor-Based Jailbreaking Attacks in Language Models and Associated Changes in Chain-of-Thought Content (Student Abstract)
AAAI 2026
Misclassification-Aware Robust Learning from Multiple Human Labelers (Student Abstract)
AAAI 2026
Semantics-Preserving Adversarial Attacks on Event-Driven Stock Prediction Models
AAAI 2026
STACK: Adversarial Attacks on LLM Safeguard Pipelines
AAAI 2026
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