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 11 of 26

501. ICML 2025On the Tension between Byzantine Robustness and No-Attack Accuracy in Distributed Learning
502. ICML 2025One Stone, Two Birds: Enhancing Adversarial Defense Through the Lens of Distributional Discrepancy
503. ICML 2025Optimal Fair Learning Robust to Adversarial Distribution Shift
504. ICML 2025Optimizing Robustness and Accuracy in Mixture of Experts: A Dual-Model Approach
505. ICML 2025Phase and Amplitude-aware Prompting for Enhancing Adversarial Robustness
506. ICML 2025Pixel-level Certified Explanations via Randomized Smoothing
507. ICML 2025Pixel2Feature Attack (P2FA): Rethinking the Perturbed Space to Enhance Adversarial Transferability
508. ICML 2025Position: Certified Robustness Does Not (Yet) Imply Model Security
509. ICML 2025Probably Approximately Global Robustness Certification
510. ICML 2025Provably Cost-Sensitive Adversarial Defense via Randomized Smoothing
511. ICML 2025Quadratic Upper Bound for Boosting Robustness
512. ICML 2025REINFORCE Adversarial Attacks on Large Language Models: An Adaptive, Distributional, and Semantic Objective
513. ICML 2025Robust Automatic Modulation Classification with Fuzzy Regularization
514. ICML 2025RobustLight: Improving Robustness via Diffusion Reinforcement Learning for Traffic Signal Control
515. ICML 2025RobustZero: Enhancing MuZero Reinforcement Learning Robustness to State Perturbations
516. ICML 2025ROME is Forged in Adversity: Robust Distilled Datasets via Information Bottleneck
517. ICML 2025Sample-specific Noise Injection for Diffusion-based Adversarial Purification
518. ICML 2025Scaling Trends in Language Model Robustness
519. ICML 2025Self-Consuming Generative Models with Adversarially Curated Data
520. ICML 2025Self-supervised Adversarial Purification for Graph Neural Networks
521. ICML 2025SGD Jittering: A Training Strategy for Robust and Accurate Model-Based Architectures
522. ICML 2025Splitting & Integrating: Out-of-Distribution Detection via Adversarial Gradient Attribution
523. ICML 2025Statistical Hypothesis Testing for Auditing Robustness in Language Models
524. ICML 2025Towards Robust Influence Functions with Flat Validation Minima
525. ICML 2025Towards Robustness and Explainability of Automatic Algorithm Selection
526. ICML 2025TtBA: Two-third Bridge Approach for Decision-Based Adversarial Attack
527. ICML 2025Understanding Model Ensemble in Transferable Adversarial Attack
528. ICML 2025Unified Breakdown Analysis for Byzantine Robust Gossip
529. ICML 2025Universal Neural Optimal Transport
530. ICML 2025Unveiling AI's Blind Spots: An Oracle for In-Domain, Out-of-Domain, and Adversarial Errors
531. ICML 2025Vulnerability-Aware Alignment: Mitigating Uneven Forgetting in Harmful Fine-Tuning
532. ICML 2025When and How Does CLIP Enable Domain and Compositional Generalization?
533. ICML 2025X-Transfer Attacks: Towards Super Transferable Adversarial Attacks on CLIP
534. NeurIPS 2025A data and task-constrained mechanistic model of the mouse outer retina shows robustness to contrast variations
535. NeurIPS 2025A Near-optimal, Scalable and Parallelizable Framework for Stochastic Bandits Robust to Adversarial Corruptions and Beyond
536. NeurIPS 2025A Unified Approach to Submodular Maximization Under Noise
537. NeurIPS 2025Accelerated Vertical Federated Adversarial Learning through Decoupling Layer-Wise Dependencies
538. NeurIPS 2025AdaptDel: Adaptable Deletion Rate Randomized Smoothing for Certified Robustness
539. NeurIPS 2025Adapting to Stochastic and Adversarial Losses in Episodic MDPs with Aggregate Bandit Feedback
540. NeurIPS 2025Adv-SSL: Adversarial Self-Supervised Representation Learning with Theoretical Guarantees
541. NeurIPS 2025Adversarial Diffusion for Robust Reinforcement Learning
542. NeurIPS 2025Adversarial generalization of unfolding (model-based) networks
543. NeurIPS 2025Adversarial Paraphrasing: A Universal Attack for Humanizing AI-Generated Text
544. NeurIPS 2025Adversarial Robustness of Nonparametric Regression
545. NeurIPS 2025Adversary Aware Optimization for Robust Defense
546. NeurIPS 2025AdvPrefix: An Objective for Nuanced LLM Jailbreaks
547. NeurIPS 2025Alias-Free ViT: Fractional Shift Invariance via Linear Attention
548. NeurIPS 2025An Improved Algorithm for Adversarial Linear Contextual Bandits via Reduction
549. NeurIPS 2025AngleRoCL: Angle-Robust Concept Learning for Physically View-Invariant Adversarial Patches
550. NeurIPS 2025Attention! Your Vision Language Model Could Be Maliciously Manipulated

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.