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 6 of 26

251. NeurIPS 2026BodyBench: Evaluating Adversarial Image Defenses Against AI Nudification Inpainting
252. NeurIPS 2026Brenier Meets Adversarial Training: Optimal Transport Geometry for Robust Learning
253. NeurIPS 2026Brittlebench: Quantifying LLM robustness via prompt sensitivity
254. NeurIPS 2026Catch-Only-One: Non-Transferable Examples for Model-Specific Authorization
255. NeurIPS 2026Claudini: Autoresearch Discovers State-of-the-Art Adversarial Attack Algorithms for LLMs
256. NeurIPS 2026Contrastive Adversarial Training for Robust Graph Neural Networks under Label Poisoning
257. NeurIPS 2026D-GAP: Improving Out-of-Domain Robustness via Dataset-Agnostic and Gradient-Guided Augmentation in Amplitude and Pixel Spaces
258. NeurIPS 2026DECEIVE-AFC: Adversarial Claim Attacks against Search-Enabled LLM-based Fact-Checking Systems
259. NeurIPS 2026Distributionally Robust Mixture-of-Experts Training
260. NeurIPS 2026Do More Modalities Always Help? A Geometric Perspective on Missing-Modality Robustness
261. NeurIPS 2026Do Robust LVLMs Hallucinate More? Uncovering Robustness-Induced Hallucination in Large Vision-Language Models
262. NeurIPS 2026Embedding Security Properties into AI-Enabled Cyber-Physical Systems
263. NeurIPS 2026Even Sailors Need Calm Seas: Taming the Geometry of VLMs for Fast Adversarial Fine-Tuning
264. NeurIPS 2026Exploiting Fine-Tuning Structures to Improve Adversarial Transferability on Downstream SAM
265. NeurIPS 2026Fingerprinting Inference Systems of Large Language Models
266. NeurIPS 2026FocusBranch: Combinatorial Branch-and-Bound for $\ell_0$ Neural Network Robustness Verification
267. NeurIPS 2026From Inexact Gradients to Byzantine Robustness: Acceleration and Optimization under Similarity
268. NeurIPS 2026From Tokens to Tactics: Adversarial Text Optimization in an Axis-Aligned Rhetorical Strategy Space for Harmful Content Detection
269. NeurIPS 2026FusionAudit: Pathway-Conditioned Robustness Auditing for Native Multimodal Models
270. NeurIPS 2026G-PAC: Constructing Cohesive Pseudo-Features for Generalizable Physical Adversarial Camouflage
271. NeurIPS 2026Improving Context-Shift Robustness of Convolutional Networks via Context-Regularized Cross-Entropy
272. NeurIPS 2026Joint Certification for Attributed Graphs: Beyond Topology-Only Robustness
273. NeurIPS 2026Learning Better Certified Models from Empirically-Robust Teachers
274. NeurIPS 2026Learning Data-free Universal Adversarial Perturbation with Hybrid Priors and Gradient-Guided Sharpness Regularization
275. NeurIPS 2026Learning Recoverable Neural Networks against Weight Corruption via Simple Zero-Sum Projection
276. NeurIPS 2026Learning Robust Reasoning through Guided Adversarial Self-Play
277. NeurIPS 2026Learning Robust Representations for Defending White-Box Adversarial Attacks in Continual Learning
278. NeurIPS 2026Learning-Augmented Online Portfolio Selection: Optimal Robustness-Consistency Tradeoffs
279. NeurIPS 2026Logit-Gap Steering: A Forward-Pass Diagnostic for Alignment Robustness
280. NeurIPS 2026LPS-Bench: Benchmarking Safety Awareness of Computer-Use Agents in Long-Horizon Planning under Benign and Adversarial Scenarios
281. NeurIPS 2026Malicious Node Injection: A Transferable Adversarial Attack on GNN Fairness
282. NeurIPS 2026Manifold-Aligned Adversarial Perturbation for Anti-Customization under Diffusion-based Purification
283. NeurIPS 2026Measuring Robustness and Efficiency in a Connectome-Constrained Fly Visual System Model on a Collision-Detection Task
284. NeurIPS 2026My Video Stays Mine: Temporally Consistent Universal Adversarial Perturbations against Video Customization
285. NeurIPS 2026Natural Jammers: When Non-Robust Features Become Antagonistic
286. NeurIPS 2026Near-Optimal Regret in Adversarial Kernel Bandits
287. NeurIPS 2026Near-Optimal Stochastic Linear Bandits with Delay
288. NeurIPS 2026Nearly-Optimal Algorithm for Adversarial Kernelized Bandits
289. NeurIPS 2026On Lipschitz Explosion in Deep Neural Networks with Normalization: Consequences for Optimization and Robustness
290. NeurIPS 2026Optimal In-context Adaptivity and Distributional Robustness of Transformers
291. NeurIPS 2026Pan-FM: A Pan-Organ Foundation Model with Saliency-Guided Masking for Missing Robustness
292. NeurIPS 2026Practical Adversarial Attacks on Stochastic Bandits via Fake Data Injection
293. NeurIPS 2026Prudent-Banker: No Extra Fees for Baseline Safety in Adversarial Bandits With and Without Delays
294. NeurIPS 2026Reliable Abstention under Adversarial Injections: Lower Bounds and New Upper Bounds
295. NeurIPS 2026Residual Calibration via Local Feature-Space Refinement
296. NeurIPS 2026Revisiting On-policy Adversarial Black-Box Distillation: Calibrating Groupwise Reward Geometry for Effective Advantage Construction
297. NeurIPS 2026Robust and Scalable Collaborative Learning via Pull-Based Epidemic Communication
298. NeurIPS 2026Robust Satisficing Ensemble: Scalable Model Aggregation Under Distribution Shifts
299. NeurIPS 2026SAFE-FEC: Semantically Constrained Adversarial Frontier Evolution for Factual Error Correction
300. NeurIPS 2026Should We Pay This Much for Robustness? Efficient Proxy Certificates with Marginal Guarantees

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.