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

331 papers, page 5 of 7

201. ICLR 2024Bounding the Expected Robustness of Graph Neural Networks Subject to Node Feature Attacks
202. ICLR 2024BRUSLEATTACK: A QUERY-EFFICIENT SCORE- BASED BLACK-BOX SPARSE ADVERSARIAL ATTACK
203. ICLR 2024Certified Adversarial Robustness for Rate Encoded Spiking Neural Networks
204. ICLR 2024COLEP: Certifiably Robust Learning-Reasoning Conformal Prediction via Probabilistic Circuits
205. ICLR 2024Conserve-Update-Revise to Cure Generalization and Robustness Trade-off in Adversarial Training
206. ICLR 2024Constructing Adversarial Examples for Vertical Federated Learning: Optimal Client Corruption through Multi-Armed Bandit
207. ICLR 2024DAFA: Distance-Aware Fair Adversarial Training
208. ICLR 2024Discovering Failure Modes of Text-guided Diffusion Models via Adversarial Search
209. ICLR 2024Doubly Robust Instance-Reweighted Adversarial Training
210. ICLR 2024DP-SGD Without Clipping: The Lipschitz Neural Network Way
211. ICLR 2024DRSM: De-Randomized Smoothing on Malware Classifier Providing Certified Robustness
212. ICLR 2024Efficient local linearity regularization to overcome catastrophic overfitting
213. ICLR 2024Embodied Active Defense: Leveraging Recurrent Feedback to Counter Adversarial Patches
214. ICLR 2024Evaluating the Zero-shot Robustness of Instruction-tuned Language Models
215. ICLR 2024Expressive Losses for Verified Robustness via Convex Combinations
216. ICLR 2024Expressivity of ReLU-Networks under Convex Relaxations
217. ICLR 2024Game-Theoretic Robust Reinforcement Learning Handles Temporally-Coupled Perturbations
218. ICLR 2024GNNCert: Deterministic Certification of Graph Neural Networks against Adversarial Perturbations
219. ICLR 2024Incremental Randomized Smoothing Certification
220. ICLR 2024Input-gradient space particle inference for neural network ensembles
221. ICLR 2024Interpreting Robustness Proofs of Deep Neural Networks
222. ICLR 2024IRAD: Implicit Representation-driven Image Resampling against Adversarial Attacks
223. ICLR 2024Label-Noise Robust Diffusion Models
224. ICLR 2024Large Language Models Are Not Robust Multiple Choice Selectors
225. ICLR 2024Like Oil and Water: Group Robustness Methods and Poisoning Defenses May Be at Odds
226. ICLR 2024LRR: Language-Driven Resamplable Continuous Representation against Adversarial Tracking Attacks
227. ICLR 2024Mitigating Emergent Robustness Degradation while Scaling Graph Learning
228. ICLR 2024Mitigating the Curse of Dimensionality for Certified Robustness via Dual Randomized Smoothing
229. ICLR 2024On Adversarial Training without Perturbing all Examples
230. ICLR 2024On the Vulnerability of Adversarially Trained Models Against Two-faced Attacks
231. ICLR 2024Optimal transport based adversarial patch to leverage large scale attack transferability
232. ICLR 2024Out-Of-Domain Unlabeled Data Improves Generalization
233. ICLR 2024Provably Robust Conformal Prediction with Improved Efficiency
234. ICLR 2024PubDef: Defending Against Transfer Attacks From Public Models
235. ICLR 2024Pushing Boundaries: Mixup's Influence on Neural Collapse
236. ICLR 2024Quantifying and Enhancing Multi-modal Robustness with Modality Preference
237. ICLR 2024Rethinking Model Ensemble in Transfer-based Adversarial Attacks
238. ICLR 2024Robust Adversarial Reinforcement Learning via Bounded Rationality Curricula
239. ICLR 2024Robust Classification via Regression for Learning with Noisy Labels
240. ICLR 2024Robust NAS under adversarial training: benchmark, theory, and beyond
241. ICLR 2024Robustness of AI-Image Detectors: Fundamental Limits and Practical Attacks
242. ICLR 2024SAN: Inducing Metrizability of GAN with Discriminative Normalized Linear Layer
243. ICLR 2024Tensor Trust: Interpretable Prompt Injection Attacks from an Online Game
244. ICLR 2024The Effectiveness of Random Forgetting for Robust Generalization
245. ICLR 2024Theoretical Analysis of Robust Overfitting for Wide DNNs: An NTK Approach
246. ICLR 2024Theoretical Understanding of Learning from Adversarial Perturbations
247. ICLR 2024Towards Optimal Regret in Adversarial Linear MDPs with Bandit Feedback
248. ICLR 2024Towards Robust Out-of-Distribution Generalization Bounds via Sharpness
249. ICLR 2024Understanding Certified Training with Interval Bound Propagation
250. ICLR 2024Understanding the Robustness of Multi-modal Contrastive Learning to Distribution Shift

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.