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 17 of 26

801. ICML 2024Graph Adversarial Diffusion Convolution
802. ICML 2024HarmBench: A Standardized Evaluation Framework for Automated Red Teaming and Robust Refusal
803. ICML 2024How Smooth Is Attention?
804. ICML 2024Imitation Learning in Discounted Linear MDPs without exploration assumptions
805. ICML 2024Improving Accuracy-robustness Trade-off via Pixel Reweighted Adversarial Training
806. ICML 2024Improving Adversarial Energy-Based Model via Diffusion Process
807. ICML 2024Improving Generalization in Offline Reinforcement Learning via Adversarial Data Splitting
808. ICML 2024Improving Group Robustness on Spurious Correlation Requires Preciser Group Inference
809. ICML 2024IOI: Invisible One-Iteration Adversarial Attack on No-Reference Image- and Video-Quality Metrics
810. ICML 2024Layer-Aware Analysis of Catastrophic Overfitting: Revealing the Pseudo-Robust Shortcut Dependency
811. ICML 2024Multigroup Robustness
812. ICML 2024No Free Prune: Information-Theoretic Barriers to Pruning at Initialization
813. ICML 2024Non-clairvoyant Scheduling with Partial Predictions
814. ICML 2024On the Duality Between Sharpness-Aware Minimization and Adversarial Training
815. ICML 2024Online Learning in CMDPs: Handling Stochastic and Adversarial Constraints
816. ICML 2024Online Matching with Stochastic Rewards: Provable Better Bound via Adversarial Reinforcement Learning
817. ICML 2024OODRobustBench: a Benchmark and Large-Scale Analysis of Adversarial Robustness under Distribution Shift
818. ICML 2024Position: Exploring the Robustness of Pipeline-Parallelism-Based Decentralized Training
819. ICML 2024Precise Accuracy / Robustness Tradeoffs in Regression: Case of General Norms
820. ICML 2024Prompting is a Double-Edged Sword: Improving Worst-Group Robustness of Foundation Models
821. ICML 2024Provably Better Explanations with Optimized Aggregation of Feature Attributions
822. ICML 2024Provably Efficient Reinforcement Learning for Adversarial Restless Multi-Armed Bandits with Unknown Transitions and Bandit Feedback
823. ICML 2024Purify Unlearnable Examples via Rate-Constrained Variational Autoencoders
824. ICML 2024RAUCA: A Novel Physical Adversarial Attack on Vehicle Detectors via Robust and Accurate Camouflage Generation
825. ICML 2024Rethinking Adversarial Robustness in the Context of the Right to be Forgotten
826. ICML 2024Revealing the Dark Secrets of Extremely Large Kernel ConvNets on Robustness
827. ICML 2024Revisiting Character-level Adversarial Attacks for Language Models
828. ICML 2024Riemannian Accelerated Zeroth-order Algorithm: Improved Robustness and Lower Query Complexity
829. ICML 2024Robust CLIP: Unsupervised Adversarial Fine-Tuning of Vision Embeddings for Robust Large Vision-Language Models
830. ICML 2024Robust Stable Spiking Neural Networks
831. ICML 2024Robust Universal Adversarial Perturbations
832. ICML 2024Robustness of Deep Learning for Accelerated MRI: Benefits of Diverse Training Data
833. ICML 2024Robustness of Nonlinear Representation Learning
834. ICML 2024Roping in Uncertainty: Robustness and Regularization in Markov Games
835. ICML 2024SignSGD with Federated Defense: Harnessing Adversarial Attacks through Gradient Sign Decoding
836. ICML 2024The Perception-Robustness Tradeoff in Deterministic Image Restoration
837. ICML 2024The Pitfalls and Promise of Conformal Inference Under Adversarial Attacks
838. ICML 2024Towards Efficient Training and Evaluation of Robust Models against $l_0$ Bounded Adversarial Perturbations
839. ICML 2024Towards Optimal Adversarial Robust Q-learning with Bellman Infinity-error
840. ICML 2024Towards Robust Model-Based Reinforcement Learning Against Adversarial Corruption
841. ICML 2024Triadic-OCD: Asynchronous Online Change Detection with Provable Robustness, Optimality, and Convergence
842. ICML 2024Two Heads are Actually Better than One: Towards Better Adversarial Robustness via Transduction and Rejection
843. ICML 2024Two Tales of Single-Phase Contrastive Hebbian Learning
844. ICML 2024Uniformly Stable Algorithms for Adversarial Training and Beyond
845. ICML 2024VNN: Verification-Friendly Neural Networks with Hard Robustness Guarantees
846. ICML 2024WAVES: Benchmarking the Robustness of Image Watermarks
847. NeurIPS 2024A Best-of-both-worlds Algorithm for Bandits with Delayed Feedback with Robustness to Excessive Delays
848. NeurIPS 2024A Non-parametric Direct Learning Approach to Heterogeneous Treatment Effect Estimation under Unmeasured Confounding
849. NeurIPS 2024A Sober Look at the Robustness of CLIPs to Spurious Features
850. NeurIPS 2024A StrongREJECT for Empty Jailbreaks

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.