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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
AuctionNet: A Novel Benchmark for Decision-Making in Large-Scale Games
NIPS 2024
Semantic-Aware Multi-Label Adversarial Attacks
CVPR 2024
Diffusion-Reward Adversarial Imitation Learning
NIPS 2024
OSLO: One-Shot Label-Only Membership Inference Attacks
NIPS 2024
ART: Automatic Red-teaming for Text-to-Image Models to Protect Benign Users
NIPS 2024
Learning in Markov Games with Adaptive Adversaries: Policy Regret, Fundamental Barriers, and Efficient Algorithms
NIPS 2024
DualPure: An Efficient Adversarial Purification Method for Speech Command Recognition
INTERSPEECH 2024
Revisiting Adversarial Training at Scale
CVPR 2024
Can Simple Averaging Defeat Modern Watermarks?
NIPS 2024
Putting Gale & Shapley to Work: Guaranteeing Stability Through Learning
NIPS 2024
Contracting with a Learning Agent
NIPS 2024
Mitigating Backdoor Attack by Injecting Proactive Defensive Backdoor
NIPS 2024
ColJailBreak: Collaborative Generation and Editing for Jailbreaking Text-to-Image Deep Generation
NIPS 2024
Curvature Clues: Decoding Deep Learning Privacy with Input Loss Curvature
NIPS 2024
Attack To Defend: Exploiting Adversarial Attacks for Detecting Poisoned Models
CVPR 2024
SlowFormer: Adversarial Attack on Compute and Energy Consumption of Efficient Vision Transformers
CVPR 2024
Hide in Thicket: Generating Imperceptible and Rational Adversarial Perturbations on 3D Point Clouds
CVPR 2024
Towards Transferable Targeted 3D Adversarial Attack in the Physical World
CVPR 2024
DAP: A Dynamic Adversarial Patch for Evading Person Detectors
CVPR 2024
BadCLIP: Trigger-Aware Prompt Learning for Backdoor Attacks on CLIP
CVPR 2024
SimAC: A Simple Anti-Customization Method for Protecting Face Privacy against Text-to-Image Synthesis of Diffusion Models
CVPR 2024
Cross-Modality Perturbation Synergy Attack for Person Re-identification
NIPS 2024
United We Stand, Divided We Fall: Fingerprinting Deep Neural Networks via Adversarial Trajectories
NIPS 2024
Rethinking Robustness Assessment: Adversarial Attacks on Learning-based Quadrupedal Locomotion Controllers
RSS 2024
Bridging the Gap: Rademacher Complexity in Robust and Standard Generalization
COLT 2024
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