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

327 papers, page 2 of 7

51. ICLR 2025Adversarial Perturbations Cannot Reliably Protect Artists From Generative AI
52. ICLR 2025Adversarial Score identity Distillation: Rapidly Surpassing the Teacher in One Step
53. ICLR 2025Adversarial Search Engine Optimization for Large Language Models
54. ICLR 2025Adversarial Training Can Provably Improve Robustness: Theoretical Analysis of Feature Learning Process Under Structured Data
55. ICLR 2025Adversarial Training for Defense Against Label Poisoning Attacks
56. ICLR 2025Adversarially Robust Out-of-Distribution Detection Using Lyapunov-Stabilized Embeddings
57. ICLR 2025Adversaries With Incentives: A Strategic Alternative to Adversarial Robustness
58. ICLR 2025AdvPaint: Protecting Images from Inpainting Manipulation via Adversarial Attention Disruption
59. ICLR 2025AgentHarm: A Benchmark for Measuring Harmfulness of LLM Agents
60. ICLR 2025Algorithmic Stability Based Generalization Bounds for Adversarial Training
61. ICLR 2025Aligned LLMs Are Not Aligned Browser Agents
62. ICLR 2025Artificial Kuramoto Oscillatory Neurons
63. ICLR 2025ASTrA: Adversarial Self-supervised Training with Adaptive-Attacks
64. ICLR 2025Beyond Interpretability: The Gains of Feature Monosemanticity on Model Robustness
65. ICLR 2025Boosting the visual interpretability of CLIP via adversarial fine-tuning
66. ICLR 2025Certified Robustness Under Bounded Levenshtein Distance
67. ICLR 2025CLIPure: Purification in Latent Space via CLIP for Adversarially Robust Zero-Shot Classification
68. ICLR 2025Confidence Elicitation: A New Attack Vector for Large Language Models
69. ICLR 2025Deep MMD Gradient Flow without adversarial training
70. ICLR 2025Democratic Training Against Universal Adversarial Perturbations
71. ICLR 2025Diffusion State-Guided Projected Gradient for Inverse Problems
72. ICLR 2025Dissecting Adversarial Robustness of Multimodal LM Agents
73. ICLR 2025Does Refusal Training in LLMs Generalize to the Past Tense?
74. ICLR 2025DRoP: Distributionally Robust Data Pruning
75. ICLR 2025Endless Jailbreaks with Bijection Learning
76. ICLR 2025Endowing Visual Reprogramming with Adversarial Robustness
77. ICLR 2025Enhancing Prediction Performance through Influence Measure
78. ICLR 2025Enhancing Robust Fairness via Confusional Spectral Regularization
79. ICLR 2025Estimating the Probabilities of Rare Outputs in Language Models
80. ICLR 2025Exact Certification of (Graph) Neural Networks Against Label Poisoning
81. ICLR 2025Exploring The Forgetting in Adversarial Training: A Novel Method for Enhancing Robustness
82. ICLR 2025Failures to Find Transferable Image Jailbreaks Between Vision-Language Models
83. ICLR 2025Feature Averaging: An Implicit Bias of Gradient Descent Leading to Non-Robustness in Neural Networks
84. ICLR 2025GOttack: Universal Adversarial Attacks on Graph Neural Networks via Graph Orbits Learning
85. ICLR 2025GPromptShield: Elevating Resilience in Graph Prompt Tuning Against Adversarial Attacks
86. ICLR 2025GSBA$^K$: $top$-$K$ Geometric Score-based Black-box Attack
87. ICLR 2025Improved Diffusion-based Generative Model with Better Adversarial Robustness
88. ICLR 2025Improving Generalization and Robustness in SNNs Through Signed Rate Encoding and Sparse Encoding Attacks
89. ICLR 2025Indirect Gradient Matching for Adversarial Robust Distillation
90. ICLR 2025Input Space Mode Connectivity in Deep Neural Networks
91. ICLR 2025Is Your Multimodal Language Model Oversensitive to Safe Queries?
92. ICLR 2025Jailbreaking as a Reward Misspecification Problem
93. ICLR 2025Jailbreaking Leading Safety-Aligned LLMs with Simple Adaptive Attacks
94. ICLR 2025Learning Randomized Algorithms with Transformers
95. ICLR 2025Long-tailed Adversarial Training with Self-Distillation
96. ICLR 2025Measuring Non-Adversarial Reproduction of Training Data in Large Language Models
97. ICLR 2025Minimax Optimal Two-Stage Algorithm For Moment Estimation Under Covariate Shift
98. ICLR 2025MixMax: Distributional Robustness in Function Space via Optimal Data Mixtures
99. ICLR 2025Model-Free Offline Reinforcement Learning with Enhanced Robustness
100. ICLR 2025Multi-level Certified Defense Against Poisoning Attacks in Offline Reinforcement Learning

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.