Adversarial Robustness papers, 2023–2026

Key findings

• Adversarial Robustness went from 313 papers in 2023 to 317 in 2026, roughly 1.0x in three years.
• NeurIPS publishes the most Adversarial Robustness work: 422 papers from 2023 to 2026, 33% of the four-venue total.
• The fastest-growing overlap is with Alignment and Safety: papers tagged with both rose from 13 in 2023 to 56 in 2026.
• Among the 5 topics under Security and Trust, it ranks #1 by 2026 paper count; the fastest grower in the group, Watermarking, is up 9.3x versus 1.0x here.

Representative papers

Spread across years and venues so every edition shows up

• NeurIPS 2026A Little Robustness Is All You Need: Leveraging Predictions for Contextual Optimization
• ICML 2026Bias in Zeroth-Order Normal Estimation for Decision-Based Attacks
• ICLR 2026CERTIFIED VS. EMPIRICAL ADVERSARIAL ROBUSTNESS VIA HYBRID CONVOLUTIONS WITH ATTENTION STOCHASTICITY
• CVPR 2026A Combination of Noise and Bilateral Filters Achieve Supralinear and
• NeurIPS 2025A Unified Approach to Submodular Maximization Under Noise
• ICML 2025Adversarial Perturbations Are Formed by Iteratively Learning Linear Combinations of the Right Singular Vectors of the Adversarial Jacobian
• ICLR 2025$\sigma$-zero: Gradient-based Optimization of $\ell_0$-norm Adversarial Examples
• CVPR 2025A Unified, Resilient, and Explainable Adversarial Patch Detector
• NeurIPS 2024A StrongREJECT for Empty Jailbreaks
• ICML 2024Adversarial Attacks on Combinatorial Multi-Armed Bandits
• ICLR 2024An LLM can Fool Itself: A Prompt-Based Adversarial Attack
• CVPR 2024Defense Against Adversarial Attacks on No-Reference Image Quality Models with Gradient Norm Regularization
• NeurIPS 2023A Closer Look at the Robustness of Contrastive Language-Image Pre-Training (CLIP)
• ICML 2023A Law of Robustness beyond Isoperimetry
• ICLR 2023A law of adversarial risk, interpolation, and label noise
• CVPR 2023Adversarial Normalization: I Can Visualize Everything (ICE)
• NeurIPS 2026A Regularization-Based Approach to Public Belief State Search for Adversarial Games
• ICML 2026CaliDist: Calibrating Large Language Models via Behavioral Robustness to Distraction
• ICLR 2026Conformal Robustness Control: A New Strategy for Robust Decision
• CVPR 2026A Provable Energy-Guided Test-Time Defense Boosting Adversarial Robustness of Large

All Adversarial Robustness papers

1,290 papers, page 21 of 26

1001. CVPR 2023FIANCEE: Faster Inference of Adversarial Networks via Conditional Early Exits
1002. CVPR 2023GANmouflage: 3D Object Nondetection With Texture Fields
1003. CVPR 2023Generalist: Decoupling Natural and Robust Generalization
1004. CVPR 2023ImageNet-E: Benchmarking Neural Network Robustness via Attribute Editing
1005. CVPR 2023Improving Robust Generalization by Direct PAC-Bayesian Bound Minimization
1006. CVPR 2023Improving Robustness of Semantic Segmentation to Motion-Blur Using Class-Centric Augmentation
1007. CVPR 2023Improving Robustness of Vision Transformers by Reducing Sensitivity To Patch Corruptions
1008. CVPR 2023Improving the Transferability of Adversarial Samples by Path-Augmented Method
1009. CVPR 2023Improving Zero-Shot Generalization and Robustness of Multi-Modal Models
1010. CVPR 2023Introducing Competition To Boost the Transferability of Targeted Adversarial Examples Through Clean Feature Mixup
1011. CVPR 2023Jedi: Entropy-Based Localization and Removal of Adversarial Patches
1012. CVPR 2023Label-Free Liver Tumor Segmentation
1013. CVPR 2023Learning To Retain While Acquiring: Combating Distribution-Shift in Adversarial Data-Free Knowledge Distillation
1014. CVPR 2023Learning With Noisy Labels via Self-Supervised Adversarial Noisy Masking
1015. CVPR 2023Masked Auto-Encoders Meet Generative Adversarial Networks and Beyond
1016. CVPR 2023Multi-View Adversarial Discriminator: Mine the Non-Causal Factors for Object Detection in Unseen Domains
1017. CVPR 2023Open-Set Semantic Segmentation for Point Clouds via Adversarial Prototype Framework
1018. CVPR 2023PEFAT: Boosting Semi-Supervised Medical Image Classification via Pseudo-Loss Estimation and Feature Adversarial Training
1019. CVPR 2023Physical-World Optical Adversarial Attacks on 3D Face Recognition
1020. CVPR 2023Physically Adversarial Infrared Patches With Learnable Shapes and Locations
1021. CVPR 2023PointCert: Point Cloud Classification With Deterministic Certified Robustness Guarantees
1022. CVPR 2023PoseExaminer: Automated Testing of Out-of-Distribution Robustness in Human Pose and Shape Estimation
1023. CVPR 2023Privacy-Preserving Adversarial Facial Features
1024. CVPR 2023Progressive Backdoor Erasing via Connecting Backdoor and Adversarial Attacks
1025. CVPR 2023Proximal Splitting Adversarial Attack for Semantic Segmentation
1026. CVPR 2023Randomized Adversarial Training via Taylor Expansion
1027. CVPR 2023Rate Gradient Approximation Attack Threats Deep Spiking Neural Networks
1028. CVPR 2023Revisiting Residual Networks for Adversarial Robustness
1029. CVPR 2023RIATIG: Reliable and Imperceptible Adversarial Text-to-Image Generation With Natural Prompts
1030. CVPR 2023Robust Dynamic Radiance Fields
1031. CVPR 2023Robust Single Image Reflection Removal Against Adversarial Attacks
1032. CVPR 2023Seasoning Model Soups for Robustness to Adversarial and Natural Distribution Shifts
1033. CVPR 2023Semi-Supervised Hand Appearance Recovery via Structure Disentanglement and Dual Adversarial Discrimination
1034. CVPR 2023Sibling-Attack: Rethinking Transferable Adversarial Attacks Against Face Recognition
1035. CVPR 2023SlowLiDAR: Increasing the Latency of LiDAR-Based Detection Using Adversarial Examples
1036. CVPR 2023StyleAdv: Meta Style Adversarial Training for Cross-Domain Few-Shot Learning
1037. CVPR 2023StyLess: Boosting the Transferability of Adversarial Examples
1038. CVPR 2023Super-CLEVR: A Virtual Benchmark To Diagnose Domain Robustness in Visual Reasoning
1039. CVPR 2023Teacher-Generated Spatial-Attention Labels Boost Robustness and Accuracy of Contrastive Models
1040. CVPR 2023TeSLA: Test-Time Self-Learning With Automatic Adversarial Augmentation
1041. CVPR 2023The Best Defense Is a Good Offense: Adversarial Augmentation Against Adversarial Attacks
1042. CVPR 2023The Enemy of My Enemy Is My Friend: Exploring Inverse Adversaries for Improving Adversarial Training
1043. CVPR 2023Towards Benchmarking and Assessing Visual Naturalness of Physical World Adversarial Attacks
1044. CVPR 2023Towards Compositional Adversarial Robustness: Generalizing Adversarial Training to Composite Semantic Perturbations
1045. CVPR 2023Towards Effective Adversarial Textured 3D Meshes on Physical Face Recognition
1046. CVPR 2023Towards Transferable Targeted Adversarial Examples
1047. CVPR 2023Trade-Off Between Robustness and Accuracy of Vision Transformers
1048. CVPR 2023Turning Strengths Into Weaknesses: A Certified Robustness Inspired Attack Framework Against Graph Neural Networks
1049. CVPR 2023TWINS: A Fine-Tuning Framework for Improved Transferability of Adversarial Robustness and Generalization
1050. CVPR 2023Understanding the Robustness of 3D Object Detection With Bird's-Eye-View Representations in Autonomous Driving

FAQ

How many Adversarial Robustness papers were published at NeurIPS, ICLR, ICML and CVPR from 2023 to 2026?

1,291 in total: 313 in 2023, 334 in 2024, 327 in 2025, 317 in 2026.

How many Adversarial Robustness papers are at NeurIPS 2026?

NeurIPS 2026 has 81 Adversarial Robustness papers, versus 110 the year before.

How many Adversarial Robustness papers are at ICLR 2026?

ICLR 2026 has 94 Adversarial Robustness papers, versus 88 the year before.

How many Adversarial Robustness papers are at ICML 2026?

ICML 2026 has 93 Adversarial Robustness papers, versus 85 the year before.

How many Adversarial Robustness papers are at CVPR 2026?

CVPR 2026 has 49 Adversarial Robustness papers, versus 44 the year before.

Which conference publishes the most Adversarial Robustness papers?

NeurIPS, with 422 papers from 2023 to 2026.