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 24 of 26

1151. ICML 2023Efficient Rate Optimal Regret for Adversarial Contextual MDPs Using Online Function Approximation
1152. ICML 2023Eliminating Adversarial Noise via Information Discard and Robust Representation Restoration
1153. ICML 2023Extending Kernel PCA through Dualization: Sparsity, Robustness and Fast Algorithms
1154. ICML 2023Federated Adversarial Learning: A Framework with Convergence Analysis
1155. ICML 2023From Robustness to Privacy and Back
1156. ICML 2023GAT: Guided Adversarial Training with Pareto-optimal Auxiliary Tasks
1157. ICML 2023How Many Perturbations Break This Model? Evaluating Robustness Beyond Adversarial Accuracy
1158. ICML 2023Identification of the Adversary from a Single Adversarial Example
1159. ICML 2023Improved Algorithms for White-Box Adversarial Streams
1160. ICML 2023Improving Adversarial Robustness by Putting More Regularizations on Less Robust Samples
1161. ICML 2023Improving Adversarial Robustness of Deep Equilibrium Models with Explicit Regulations Along the Neural Dynamics
1162. ICML 2023Improving Adversarial Robustness Through the Contrastive-Guided Diffusion Process
1163. ICML 2023Improving l1-Certified Robustness via Randomized Smoothing by Leveraging Box Constraints
1164. ICML 2023Label Distributionally Robust Losses for Multi-class Classification: Consistency, Robustness and Adaptivity
1165. ICML 2023Learning for Edge-Weighted Online Bipartite Matching with Robustness Guarantees
1166. ICML 2023MultiRobustBench: Benchmarking Robustness Against Multiple Attacks
1167. ICML 2023NeRFool: Uncovering the Vulnerability of Generalizable Neural Radiance Fields against Adversarial Perturbations
1168. ICML 2023On the Robustness of Randomized Ensembles to Adversarial Perturbations
1169. ICML 2023On the Robustness of Text Vectorizers
1170. ICML 2023One-vs-the-Rest Loss to Focus on Important Samples in Adversarial Training
1171. ICML 2023Online Nonstochastic Control with Adversarial and Static Constraints
1172. ICML 2023Optimistic Online Mirror Descent for Bridging Stochastic and Adversarial Online Convex Optimization
1173. ICML 2023Phase-aware Adversarial Defense for Improving Adversarial Robustness
1174. ICML 2023Probabilistic Categorical Adversarial Attack and Adversarial Training
1175. ICML 2023Reasons for the Superiority of Stochastic Estimators over Deterministic Ones: Robustness, Consistency and Perceptual Quality
1176. ICML 2023Recovery Bounds on Class-Based Optimal Transport: A Sum-of-Norms Regularization Framework
1177. ICML 2023Refined Regret for Adversarial MDPs with Linear Function Approximation
1178. ICML 2023Robust Perception through Equivariance
1179. ICML 2023Robust Weight Signatures: Gaining Robustness as Easy as Patching Weights?
1180. ICML 2023Robustness in Multimodal Learning under Train-Test Modality Mismatch
1181. ICML 2023Run-off Election: Improved Provable Defense against Data Poisoning Attacks
1182. ICML 2023Simple and Fast Group Robustness by Automatic Feature Reweighting
1183. ICML 2023Spatial-Temporal Graph Learning with Adversarial Contrastive Adaptation
1184. ICML 2023Stratified Adversarial Robustness with Rejection
1185. ICML 2023The multimarginal optimal transport formulation of adversarial multiclass classification
1186. ICML 2023Towards Reliable Neural Specifications
1187. ICML 2023Towards Stable and Efficient Adversarial Training against $l_1$ Bounded Adversarial Attacks
1188. ICML 2023Training-Free Neural Active Learning with Initialization-Robustness Guarantees
1189. ICML 2023Understanding and Defending Patched-based Adversarial Attacks for Vision Transformer
1190. ICML 2023Understanding the Impact of Adversarial Robustness on Accuracy Disparity
1191. NeurIPS 2023A Closer Look at the Robustness of Contrastive Language-Image Pre-Training (CLIP)
1192. NeurIPS 2023Adversarial Examples Are Not Real Features
1193. NeurIPS 2023Adversarial Examples Exist in Two-Layer ReLU Networks for Low Dimensional Linear Subspaces
1194. NeurIPS 2023Adversarial Examples Might be Avoidable: The Role of Data Concentration in Adversarial Robustness
1195. NeurIPS 2023Adversarial Learning for Feature Shift Detection and Correction
1196. NeurIPS 2023Adversarial Resilience in Sequential Prediction via Abstention
1197. NeurIPS 2023Adversarial Robustness in Graph Neural Networks: A Hamiltonian Approach
1198. NeurIPS 2023Adversarial Robustness through Random Weight Sampling
1199. NeurIPS 2023Adversarial Self-Training Improves Robustness and Generalization for Gradual Domain Adaptation
1200. NeurIPS 2023Adversarial Training from Mean Field Perspective

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.