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 9 of 26

401. ICLR 2025GPromptShield: Elevating Resilience in Graph Prompt Tuning Against Adversarial Attacks
402. ICLR 2025GSBA$^K$: $top$-$K$ Geometric Score-based Black-box Attack
403. ICLR 2025Improved Diffusion-based Generative Model with Better Adversarial Robustness
404. ICLR 2025Improving Generalization and Robustness in SNNs Through Signed Rate Encoding and Sparse Encoding Attacks
405. ICLR 2025Indirect Gradient Matching for Adversarial Robust Distillation
406. ICLR 2025Input Space Mode Connectivity in Deep Neural Networks
407. ICLR 2025Is Your Multimodal Language Model Oversensitive to Safe Queries?
408. ICLR 2025Jailbreaking as a Reward Misspecification Problem
409. ICLR 2025Jailbreaking Leading Safety-Aligned LLMs with Simple Adaptive Attacks
410. ICLR 2025Learning Randomized Algorithms with Transformers
411. ICLR 2025Long-tailed Adversarial Training with Self-Distillation
412. ICLR 2025Measuring Non-Adversarial Reproduction of Training Data in Large Language Models
413. ICLR 2025Minimax Optimal Two-Stage Algorithm For Moment Estimation Under Covariate Shift
414. ICLR 2025MixMax: Distributional Robustness in Function Space via Optimal Data Mixtures
415. ICLR 2025Model-Free Offline Reinforcement Learning with Enhanced Robustness
416. ICLR 2025Multi-level Certified Defense Against Poisoning Attacks in Offline Reinforcement Learning
417. ICLR 2025Non-Adversarial Inverse Reinforcement Learning via Successor Feature Matching
418. ICLR 2025On Minimizing Adversarial Counterfactual Error in Adversarial Reinforcement Learning
419. ICLR 2025Optimizing importance weighting in the presence of sub-population shifts
420. ICLR 2025PolyPythias: Stability and Outliers across Fifty Language Model Pre-Training Runs
421. ICLR 2025Provable Robust Overfitting Mitigation in Wasserstein Distributionally Robust Optimization
422. ICLR 2025Provably Reliable Conformal Prediction Sets in the Presence of Data Poisoning
423. ICLR 2025Provably Safeguarding a Classifier from OOD and Adversarial Samples
424. ICLR 2025Rethinking Invariance Regularization in Adversarial Training to Improve Robustness-Accuracy Trade-off
425. ICLR 2025Robust Feature Learning for Multi-Index Models in High Dimensions
426. ICLR 2025Robust LLM safeguarding via refusal feature adversarial training
427. ICLR 2025Robust Representation Consistency Model via Contrastive Denoising
428. ICLR 2025Robust Transfer of Safety-Constrained Reinforcement Learning Agents
429. ICLR 2025Robustness Auditing for Linear Regression: To Singularity and Beyond
430. ICLR 2025Robustness Inspired Graph Backdoor Defense
431. ICLR 2025Robustness Reprogramming for Representation Learning
432. ICLR 2025Selective Unlearning via Representation Erasure Using Domain Adversarial Training
433. ICLR 2025Shh, don't say that! Domain Certification in LLMs
434. ICLR 2025Speech Robust Bench: A Robustness Benchmark For Speech Recognition
435. ICLR 2025Stochastic Bandits Robust to Adversarial Attacks
436. ICLR 2025Strong Preferences Affect the Robustness of Preference Models and Value Alignment
437. ICLR 2025Tailoring Mixup to Data for Calibration
438. ICLR 2025Targeted Attack Improves Protection against Unauthorized Diffusion Customization
439. ICLR 2025TASAR: Transfer-based Attack on Skeletal Action Recognition
440. ICLR 2025Tight Clusters Make Specialized Experts
441. ICLR 2025To Tackle Adversarial Transferability: A Novel Ensemble Training Method with Fourier Transformation
442. ICLR 2025Towards Certification of Uncertainty Calibration under Adversarial Attacks
443. ICLR 2025Towards Scalable Topological Regularizers
444. ICLR 2025Towards Understanding the Robustness of Diffusion-Based Purification: A Stochastic Perspective
445. ICLR 2025Training Robust Ensembles Requires Rethinking Lipschitz Continuity
446. ICLR 2025Unlearn and Burn: Adversarial Machine Unlearning Requests Destroy Model Accuracy
447. ICLR 2025Verifying Properties of Binary Neural Networks Using Sparse Polynomial Optimization
448. ICLR 2025Zero-cost Proxy for Adversarial Robustness Evaluation
449. ICML 2025Adapting to Evolving Adversaries with Regularized Continual Robust Training
450. ICML 2025Adaptive Median Smoothing: Adversarial Defense for Unlearned Text-to-Image Diffusion Models at Inference Time

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.