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 5 of 7

201. ICML 2025Sample-specific Noise Injection for Diffusion-based Adversarial Purification
202. ICML 2025Scaling Trends in Language Model Robustness
203. ICML 2025Self-Consuming Generative Models with Adversarially Curated Data
204. ICML 2025Self-supervised Adversarial Purification for Graph Neural Networks
205. ICML 2025SGD Jittering: A Training Strategy for Robust and Accurate Model-Based Architectures
206. ICML 2025Splitting & Integrating: Out-of-Distribution Detection via Adversarial Gradient Attribution
207. ICML 2025Statistical Hypothesis Testing for Auditing Robustness in Language Models
208. ICML 2025Towards Robust Influence Functions with Flat Validation Minima
209. ICML 2025Towards Robustness and Explainability of Automatic Algorithm Selection
210. ICML 2025TtBA: Two-third Bridge Approach for Decision-Based Adversarial Attack
211. ICML 2025Understanding Model Ensemble in Transferable Adversarial Attack
212. ICML 2025Unified Breakdown Analysis for Byzantine Robust Gossip
213. ICML 2025Universal Neural Optimal Transport
214. ICML 2025Unveiling AI's Blind Spots: An Oracle for In-Domain, Out-of-Domain, and Adversarial Errors
215. ICML 2025Vulnerability-Aware Alignment: Mitigating Uneven Forgetting in Harmful Fine-Tuning
216. ICML 2025When and How Does CLIP Enable Domain and Compositional Generalization?
217. ICML 2025X-Transfer Attacks: Towards Super Transferable Adversarial Attacks on CLIP
218. NeurIPS 2025A data and task-constrained mechanistic model of the mouse outer retina shows robustness to contrast variations
219. NeurIPS 2025A Near-optimal, Scalable and Parallelizable Framework for Stochastic Bandits Robust to Adversarial Corruptions and Beyond
220. NeurIPS 2025A Unified Approach to Submodular Maximization Under Noise
221. NeurIPS 2025Accelerated Vertical Federated Adversarial Learning through Decoupling Layer-Wise Dependencies
222. NeurIPS 2025AdaptDel: Adaptable Deletion Rate Randomized Smoothing for Certified Robustness
223. NeurIPS 2025Adapting to Stochastic and Adversarial Losses in Episodic MDPs with Aggregate Bandit Feedback
224. NeurIPS 2025Adv-SSL: Adversarial Self-Supervised Representation Learning with Theoretical Guarantees
225. NeurIPS 2025Adversarial Diffusion for Robust Reinforcement Learning
226. NeurIPS 2025Adversarial generalization of unfolding (model-based) networks
227. NeurIPS 2025Adversarial Paraphrasing: A Universal Attack for Humanizing AI-Generated Text
228. NeurIPS 2025Adversarial Robustness of Nonparametric Regression
229. NeurIPS 2025Adversary Aware Optimization for Robust Defense
230. NeurIPS 2025AdvPrefix: An Objective for Nuanced LLM Jailbreaks
231. NeurIPS 2025Alias-Free ViT: Fractional Shift Invariance via Linear Attention
232. NeurIPS 2025An Improved Algorithm for Adversarial Linear Contextual Bandits via Reduction
233. NeurIPS 2025AngleRoCL: Angle-Robust Concept Learning for Physically View-Invariant Adversarial Patches
234. NeurIPS 2025Attention! Your Vision Language Model Could Be Maliciously Manipulated
235. NeurIPS 2025AutoRedTeamer: Autonomous Red Teaming with Lifelong Attack Integration
236. NeurIPS 2025Backdoor Mitigation via Invertible Pruning Masks
237. NeurIPS 2025BAM-ICL: Causal Hijacking In-Context Learning with Budgeted Adversarial Manipulation
238. NeurIPS 2025Best-of-N Jailbreaking
239. NeurIPS 2025Better Language Model Inversion by Compactly Representing Next-Token Distributions
240. NeurIPS 2025Beyond $\tilde{O}(\sqrt{T})$ Constraint Violation for Online Convex Optimization with Adversarial Constraints
241. NeurIPS 2025Bits Leaked per Query: Information-Theoretic Bounds for Adversarial Attacks on LLMs
242. NeurIPS 2025Boosting Adversarial Transferability with Spatial Adversarial Alignment
243. NeurIPS 2025Bridging Symmetry and Robustness: On the Role of Equivariance in Enhancing Adversarial Robustness
244. NeurIPS 2025Broken Tokens? Your Language Model can Secretly Handle Non-Canonical Tokenizations
245. NeurIPS 2025CARES: Comprehensive Evaluation of Safety and Adversarial Robustness in Medical LLMs
246. NeurIPS 2025Certifying Deep Network Risks and Individual Predictions with PAC-Bayes Loss via Localized Priors
247. NeurIPS 2025CodeCrash: Exposing LLM Fragility to Misleading Natural Language in Code Reasoning
248. NeurIPS 2025Conformal Prediction under Lévy-Prokhorov Distribution Shifts: Robustness to Local and Global Perturbations
249. NeurIPS 2025Data Selection Matters: Towards Robust Instruction Tuning of Large Multimodal Models
250. NeurIPS 2025DenoiseRotator: Enhance Pruning Robustness for LLMs via Importance Concentration

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.