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

131 papers, page 1 of 3

1. NeurIPS 2024A Best-of-both-worlds Algorithm for Bandits with Delayed Feedback with Robustness to Excessive Delays
2. NeurIPS 2024A Non-parametric Direct Learning Approach to Heterogeneous Treatment Effect Estimation under Unmeasured Confounding
3. NeurIPS 2024A Sober Look at the Robustness of CLIPs to Spurious Features
4. NeurIPS 2024A StrongREJECT for Empty Jailbreaks
5. NeurIPS 2024Achievable distributional robustness when the robust risk is only partially identified
6. NeurIPS 2024Achieving Domain-Independent Certified Robustness via Knowledge Continuity
7. NeurIPS 2024AdanCA: Neural Cellular Automata As Adaptors For More Robust Vision Transformer
8. NeurIPS 2024Adaptive Randomized Smoothing: Certified Adversarial Robustness for Multi-Step Defences
9. NeurIPS 2024AdvAD: Exploring Non-Parametric Diffusion for Imperceptible Adversarial Attacks
10. NeurIPS 2024Adversarial Environment Design via Regret-Guided Diffusion Models
11. NeurIPS 2024Adversarial Moment-Matching Distillation of Large Language Models
12. NeurIPS 2024Adversarial Schrödinger Bridge Matching
13. NeurIPS 2024Adversarially Robust Decision Transformer
14. NeurIPS 2024Adversarially Robust Dense-Sparse Tradeoffs via Heavy-Hitters
15. NeurIPS 2024AgentDojo: A Dynamic Environment to Evaluate Prompt Injection Attacks and Defenses for LLM Agents
16. NeurIPS 2024An Analysis of Robustness of Non-Lipschitz Networks
17. NeurIPS 2024AudioMarkBench: Benchmarking Robustness of Audio Watermarking
18. NeurIPS 2024Back to the Continuous Attractor
19. NeurIPS 2024BAN: Detecting Backdoors Activated by Adversarial Neuron Noise
20. NeurIPS 2024Beating Adversarial Low-Rank MDPs with Unknown Transition and Bandit Feedback
21. NeurIPS 2024Beware of Road Markings: A New Adversarial Patch Attack to Monocular Depth Estimation
22. NeurIPS 2024Beyond Primal-Dual Methods in Bandits with Stochastic and Adversarial Constraints
23. NeurIPS 2024Bridging Multicalibration and Out-of-distribution Generalization Beyond Covariate Shift
24. NeurIPS 2024Byzantine Robustness and Partial Participation Can Be Achieved at Once: Just Clip Gradient Differences
25. NeurIPS 2024Can Models Learn Skill Composition from Examples?
26. NeurIPS 2024CausalDiff: Causality-Inspired Disentanglement via Diffusion Model for Adversarial Defense
27. NeurIPS 2024Certified Adversarial Robustness via Randomized $\alpha$-Smoothing for Regression Models
28. NeurIPS 2024Certified Robustness for Deep Equilibrium Models via Serialized Random Smoothing
29. NeurIPS 2024Consistency Purification: Effective and Efficient Diffusion Purification towards Certified Robustness
30. NeurIPS 2024Constrained Adaptive Attack: Effective Adversarial Attack Against Deep Neural Networks for Tabular Data
31. NeurIPS 2024Constructing Semantics-Aware Adversarial Examples with a Probabilistic Perspective
32. NeurIPS 2024Cross-Modality Perturbation Synergy Attack for Person Re-identification
33. NeurIPS 2024DarkSAM: Fooling Segment Anything Model to Segment Nothing
34. NeurIPS 2024DAT: Improving Adversarial Robustness via Generative Amplitude Mix-up in Frequency Domain
35. NeurIPS 2024Decoupled Kullback-Leibler Divergence Loss
36. NeurIPS 2024Defensive Unlearning with Adversarial Training for Robust Concept Erasure in Diffusion Models
37. NeurIPS 2024DeNetDM: Debiasing by Network Depth Modulation
38. NeurIPS 2024DeSparsify: Adversarial Attack Against Token Sparsification Mechanisms
39. NeurIPS 2024Detecting Brittle Decisions for Free: Leveraging Margin Consistency in Deep Robust Classifiers
40. NeurIPS 2024DiffHammer: Rethinking the Robustness of Diffusion-Based Adversarial Purification
41. NeurIPS 2024Diffusion Models are Certifiably Robust Classifiers
42. NeurIPS 2024Diffusion-Reward Adversarial Imitation Learning
43. NeurIPS 2024ECLipsE: Efficient Compositional Lipschitz Constant Estimation for Deep Neural Networks
44. NeurIPS 2024Edit Distance Robust Watermarks via Indexing Pseudorandom Codes
45. NeurIPS 2024Efficient Adversarial Training in LLMs with Continuous Attacks
46. NeurIPS 2024Elliptical Attention
47. NeurIPS 2024Elo Uncovered: Robustness and Best Practices in Language Model Evaluation
48. NeurIPS 2024Enhancing Robustness in Deep Reinforcement Learning: A Lyapunov Exponent Approach
49. NeurIPS 2024Enhancing Robustness of Graph Neural Networks on Social Media with Explainable Inverse Reinforcement Learning
50. NeurIPS 2024Enhancing Robustness of Last Layer Two-Stage Fair Model Corrections

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.