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

60 papers, page 1 of 2

1. ICML 2023A Critical Revisit of Adversarial Robustness in 3D Point Cloud Recognition with Diffusion-Driven Purification
2. ICML 2023A Law of Robustness beyond Isoperimetry
3. ICML 2023ACAT: Adversarial Counterfactual Attention for Classification and Detection in Medical Imaging
4. ICML 2023Adversarial Cheap Talk
5. ICML 2023Adversarial Classification: Necessary Conditions and Geometric Flows
6. ICML 2023Adversarial Example Does Good: Preventing Painting Imitation from Diffusion Models via Adversarial Examples
7. ICML 2023Adversarial Parameter Attack on Deep Neural Networks
8. ICML 2023Adversarial Policies Beat Superhuman Go AIs
9. ICML 2023Adversarial robustness of amortized Bayesian inference
10. ICML 2023Adversarially Robust PAC Learnability of Real-Valued Functions
11. ICML 2023Beyond the Universal Law of Robustness: Sharper Laws for Random Features and Neural Tangent Kernels
12. ICML 2023BNN-DP: Robustness Certification of Bayesian Neural Networks via Dynamic Programming
13. ICML 2023Computational Asymmetries in Robust Classification
14. ICML 2023CrossSplit: Mitigating Label Noise Memorization through Data Splitting
15. ICML 2023Delayed Bandits: When Do Intermediate Observations Help?
16. ICML 2023Detecting Adversarial Data by Probing Multiple Perturbations Using Expected Perturbation Score
17. ICML 2023Dimension-independent Certified Neural Network Watermarks via Mollifier Smoothing
18. ICML 2023Directed Chain Generative Adversarial Networks
19. ICML 2023Do Perceptually Aligned Gradients Imply Robustness?
20. ICML 2023Doubly Adversarial Federated Bandits
21. ICML 2023Efficient Rate Optimal Regret for Adversarial Contextual MDPs Using Online Function Approximation
22. ICML 2023Eliminating Adversarial Noise via Information Discard and Robust Representation Restoration
23. ICML 2023Extending Kernel PCA through Dualization: Sparsity, Robustness and Fast Algorithms
24. ICML 2023Federated Adversarial Learning: A Framework with Convergence Analysis
25. ICML 2023From Robustness to Privacy and Back
26. ICML 2023GAT: Guided Adversarial Training with Pareto-optimal Auxiliary Tasks
27. ICML 2023How Many Perturbations Break This Model? Evaluating Robustness Beyond Adversarial Accuracy
28. ICML 2023Identification of the Adversary from a Single Adversarial Example
29. ICML 2023Improved Algorithms for White-Box Adversarial Streams
30. ICML 2023Improving Adversarial Robustness by Putting More Regularizations on Less Robust Samples
31. ICML 2023Improving Adversarial Robustness of Deep Equilibrium Models with Explicit Regulations Along the Neural Dynamics
32. ICML 2023Improving Adversarial Robustness Through the Contrastive-Guided Diffusion Process
33. ICML 2023Improving l1-Certified Robustness via Randomized Smoothing by Leveraging Box Constraints
34. ICML 2023Label Distributionally Robust Losses for Multi-class Classification: Consistency, Robustness and Adaptivity
35. ICML 2023Learning for Edge-Weighted Online Bipartite Matching with Robustness Guarantees
36. ICML 2023MultiRobustBench: Benchmarking Robustness Against Multiple Attacks
37. ICML 2023NeRFool: Uncovering the Vulnerability of Generalizable Neural Radiance Fields against Adversarial Perturbations
38. ICML 2023On the Robustness of Randomized Ensembles to Adversarial Perturbations
39. ICML 2023On the Robustness of Text Vectorizers
40. ICML 2023One-vs-the-Rest Loss to Focus on Important Samples in Adversarial Training
41. ICML 2023Online Nonstochastic Control with Adversarial and Static Constraints
42. ICML 2023Optimistic Online Mirror Descent for Bridging Stochastic and Adversarial Online Convex Optimization
43. ICML 2023Phase-aware Adversarial Defense for Improving Adversarial Robustness
44. ICML 2023Probabilistic Categorical Adversarial Attack and Adversarial Training
45. ICML 2023Reasons for the Superiority of Stochastic Estimators over Deterministic Ones: Robustness, Consistency and Perceptual Quality
46. ICML 2023Recovery Bounds on Class-Based Optimal Transport: A Sum-of-Norms Regularization Framework
47. ICML 2023Refined Regret for Adversarial MDPs with Linear Function Approximation
48. ICML 2023Robust Perception through Equivariance
49. ICML 2023Robust Weight Signatures: Gaining Robustness as Easy as Patching Weights?
50. ICML 2023Robustness in Multimodal Learning under Train-Test Modality Mismatch

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.