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

81 papers, page 1 of 2

1. NeurIPS 2026A Little Robustness Is All You Need: Leveraging Predictions for Contextual Optimization
2. NeurIPS 2026A Margin Perspective on LoRA: Robustness to Catastrophic Forgetting and Adapter Merging (MaLoRA)
3. NeurIPS 2026A Regularization-Based Approach to Public Belief State Search for Adversarial Games
4. NeurIPS 2026A Retained-Signal Interface for LLM Watermark Robustness under Paraphrase
5. NeurIPS 2026A Simple Class-Agnostic Approach to Enhance Fair Adversarial Training
6. NeurIPS 2026A Solver-Efficient Neural Adversarial Attack on Subgraph Matching Models
7. NeurIPS 2026Adversarial Corpus Selection to Attack Subgraph Matching based Graph Retrieval
8. NeurIPS 2026Adversarial Group Fairness in Contextual Bandits: When Robust is Not Fair
9. NeurIPS 2026AI Models Can Provably Hide Arbitrary Capabilities
10. NeurIPS 2026AnchorRep: Defending LLMs Against Cross-Model Adversarial Transfer via Representation Repulsion
11. NeurIPS 2026Assessing the robustness of heterogeneous treatment effects in survival analysis under informative censoring
12. NeurIPS 2026BayesAT: Bayes-Guided Progressive Distillation for Semi-Supervised Adversarial Training
13. NeurIPS 2026Benchmarking Sensor-Fault Robustness in Forecasting
14. NeurIPS 2026Beyond Correctness: Robustness-Driven Evolutionary Self-Training for Large Language Models
15. NeurIPS 2026Beyond Ground Truth: Evaluating Non-Verifiable Reasoning in LLMs through Moral Robustness
16. NeurIPS 2026BodyBench: Evaluating Adversarial Image Defenses Against AI Nudification Inpainting
17. NeurIPS 2026Brenier Meets Adversarial Training: Optimal Transport Geometry for Robust Learning
18. NeurIPS 2026Brittlebench: Quantifying LLM robustness via prompt sensitivity
19. NeurIPS 2026Catch-Only-One: Non-Transferable Examples for Model-Specific Authorization
20. NeurIPS 2026Claudini: Autoresearch Discovers State-of-the-Art Adversarial Attack Algorithms for LLMs
21. NeurIPS 2026Contrastive Adversarial Training for Robust Graph Neural Networks under Label Poisoning
22. NeurIPS 2026D-GAP: Improving Out-of-Domain Robustness via Dataset-Agnostic and Gradient-Guided Augmentation in Amplitude and Pixel Spaces
23. NeurIPS 2026DECEIVE-AFC: Adversarial Claim Attacks against Search-Enabled LLM-based Fact-Checking Systems
24. NeurIPS 2026Distributionally Robust Mixture-of-Experts Training
25. NeurIPS 2026Do More Modalities Always Help? A Geometric Perspective on Missing-Modality Robustness
26. NeurIPS 2026Do Robust LVLMs Hallucinate More? Uncovering Robustness-Induced Hallucination in Large Vision-Language Models
27. NeurIPS 2026Embedding Security Properties into AI-Enabled Cyber-Physical Systems
28. NeurIPS 2026Even Sailors Need Calm Seas: Taming the Geometry of VLMs for Fast Adversarial Fine-Tuning
29. NeurIPS 2026Exploiting Fine-Tuning Structures to Improve Adversarial Transferability on Downstream SAM
30. NeurIPS 2026Fingerprinting Inference Systems of Large Language Models
31. NeurIPS 2026FocusBranch: Combinatorial Branch-and-Bound for $\ell_0$ Neural Network Robustness Verification
32. NeurIPS 2026From Inexact Gradients to Byzantine Robustness: Acceleration and Optimization under Similarity
33. NeurIPS 2026From Tokens to Tactics: Adversarial Text Optimization in an Axis-Aligned Rhetorical Strategy Space for Harmful Content Detection
34. NeurIPS 2026FusionAudit: Pathway-Conditioned Robustness Auditing for Native Multimodal Models
35. NeurIPS 2026G-PAC: Constructing Cohesive Pseudo-Features for Generalizable Physical Adversarial Camouflage
36. NeurIPS 2026Improving Context-Shift Robustness of Convolutional Networks via Context-Regularized Cross-Entropy
37. NeurIPS 2026Joint Certification for Attributed Graphs: Beyond Topology-Only Robustness
38. NeurIPS 2026Learning Better Certified Models from Empirically-Robust Teachers
39. NeurIPS 2026Learning Data-free Universal Adversarial Perturbation with Hybrid Priors and Gradient-Guided Sharpness Regularization
40. NeurIPS 2026Learning Recoverable Neural Networks against Weight Corruption via Simple Zero-Sum Projection
41. NeurIPS 2026Learning Robust Reasoning through Guided Adversarial Self-Play
42. NeurIPS 2026Learning Robust Representations for Defending White-Box Adversarial Attacks in Continual Learning
43. NeurIPS 2026Learning-Augmented Online Portfolio Selection: Optimal Robustness-Consistency Tradeoffs
44. NeurIPS 2026Logit-Gap Steering: A Forward-Pass Diagnostic for Alignment Robustness
45. NeurIPS 2026LPS-Bench: Benchmarking Safety Awareness of Computer-Use Agents in Long-Horizon Planning under Benign and Adversarial Scenarios
46. NeurIPS 2026Malicious Node Injection: A Transferable Adversarial Attack on GNN Fairness
47. NeurIPS 2026Manifold-Aligned Adversarial Perturbation for Anti-Customization under Diffusion-based Purification
48. NeurIPS 2026Measuring Robustness and Efficiency in a Connectome-Constrained Fly Visual System Model on a Collision-Detection Task
49. NeurIPS 2026My Video Stays Mine: Temporally Consistent Universal Adversarial Perturbations against Video Customization
50. NeurIPS 2026Natural Jammers: When Non-Robust Features Become Antagonistic

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.