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

422 papers, page 4 of 9

151. NeurIPS 2025On the Robustness of Transformers against Context Hijacking for Linear Classification
152. NeurIPS 2025On the Robustness of Verbal Confidence of LLMs in Adversarial Attacks
153. NeurIPS 2025Optimal Control for Transformer Architectures: Enhancing Generalization, Robustness and Efficiency
154. NeurIPS 2025OSTAR: Optimized Statistical Text-classifier with Adversarial Resistance
155. NeurIPS 2025Parameter-free Algorithms for the Stochastically Extended Adversarial Model
156. NeurIPS 2025PCA++: How Uniformity Induces Robustness to Background Noise in Contrastive Learning
157. NeurIPS 2025Regret Bounds for Adversarial Contextual Bandits with General Function Approximation and Delayed Feedback
158. NeurIPS 2025ReliabilityRAG: Effective and Provably Robust Defense for RAG-based Web-Search
159. NeurIPS 2025Remarkable Robustness of LLMs: Stages of Inference?
160. NeurIPS 2025Reverse Engineering Human Preferences with Reinforcement Learning
161. NeurIPS 2025Robust Equilibria in Continuous Games: From Strategic to Dynamic Robustness
162. NeurIPS 2025Robust learning of halfspaces under log-concave marginals
163. NeurIPS 2025Robust Satisficing Gaussian Process Bandits Under Adversarial Attacks
164. NeurIPS 2025Robust SuperAlignment: Weak-to-Strong Robustness Generalization for Vision-Language Models
165. NeurIPS 2025Robustifying Learning-Augmented Caching Efficiently without Compromising 1-Consistency
166. NeurIPS 2025Robustness in Both Domains: CLIP Needs a Robust Text Encoder
167. NeurIPS 2025Sample Complexity of Distributionally Robust Average-Reward Reinforcement Learning
168. NeurIPS 2025Scalable Neural Network Geometric Robustness Validation via Hölder Optimisation
169. NeurIPS 2025Scaling Data-Driven Probabilistic Robustness Analysis for Semantic Segmentation Neural Networks
170. NeurIPS 2025SECA: Semantically Equivalent and Coherent Attacks for Eliciting LLM Hallucinations
171. NeurIPS 2025Self-Refining Language Model Anonymizers via Adversarial Distillation
172. NeurIPS 2025Short-length Adversarial Training Helps LLMs Defend Long-length Jailbreak Attacks: Theoretical and Empirical Evidence
173. NeurIPS 2025Statistical Analysis of an Adversarial Bayesian Weak Supervision Method
174. NeurIPS 2025Stochastic Shortest Path with Sparse Adversarial Costs
175. NeurIPS 2025Taming Adversarial Constraints in CMDPs
176. NeurIPS 2025The Cost of Compression: Tight Quadratic Black-Box Attacks on Sketches for $\ell_2$ Norm Estimation
177. NeurIPS 2025The Cost of Robustness: Tighter Bounds on Parameter Complexity for Robust Memorization in ReLU Nets
178. NeurIPS 2025The Fluorescent Veil: A Stealthy and Effective Physical Adversarial Patch Against Traffic Sign Recognition
179. NeurIPS 2025The Good, the Bad and the Ugly: Meta-Analysis of Watermarks, Transferable Attacks and Adversarial Defenses
180. NeurIPS 2025The Impact of Coreset Selection on Spurious Correlations and Group Robustness
181. NeurIPS 2025The Implicit Bias of Structured State Space Models Can Be Poisoned With Clean Labels
182. NeurIPS 2025The Right to Red-Team: Adversarial AI Literacy as a Civic Imperative in K-12 Education
183. NeurIPS 2025The Unseen Threat: Residual Knowledge in Machine Unlearning under Perturbed Samples
184. NeurIPS 2025Theoretical Guarantees for the Retention of Strict Nash Equilibria by Coevolutionary Algorithms
185. NeurIPS 2025Transstratal Adversarial Attack: Compromising Multi-Layered Defenses in Text-to-Image Models
186. NeurIPS 2025Understanding and Improving Adversarial Robustness of Neural Probabilistic Circuits
187. NeurIPS 2025Understanding and Improving Fast Adversarial Training against $l_0$ Bounded Perturbations
188. NeurIPS 2025Vanish into Thin Air: Cross-prompt Universal Adversarial Attacks for SAM2
189. NeurIPS 2025Vulnerable Data-Aware Adversarial Training
190. NeurIPS 2025When Are Concepts Erased From Diffusion Models?
191. NeurIPS 2025When Does Closeness in Distribution Imply Representational Similarity? An Identifiability Perspective
192. NeurIPS 2024A Best-of-both-worlds Algorithm for Bandits with Delayed Feedback with Robustness to Excessive Delays
193. NeurIPS 2024A Non-parametric Direct Learning Approach to Heterogeneous Treatment Effect Estimation under Unmeasured Confounding
194. NeurIPS 2024A Sober Look at the Robustness of CLIPs to Spurious Features
195. NeurIPS 2024A StrongREJECT for Empty Jailbreaks
196. NeurIPS 2024Achievable distributional robustness when the robust risk is only partially identified
197. NeurIPS 2024Achieving Domain-Independent Certified Robustness via Knowledge Continuity
198. NeurIPS 2024AdanCA: Neural Cellular Automata As Adaptors For More Robust Vision Transformer
199. NeurIPS 2024Adaptive Randomized Smoothing: Certified Adversarial Robustness for Multi-Step Defences
200. NeurIPS 2024AdvAD: Exploring Non-Parametric Diffusion for Imperceptible Adversarial Attacks

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.