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

327 papers, page 3 of 7

101. ICLR 2025Non-Adversarial Inverse Reinforcement Learning via Successor Feature Matching
102. ICLR 2025On Minimizing Adversarial Counterfactual Error in Adversarial Reinforcement Learning
103. ICLR 2025Optimizing importance weighting in the presence of sub-population shifts
104. ICLR 2025PolyPythias: Stability and Outliers across Fifty Language Model Pre-Training Runs
105. ICLR 2025Provable Robust Overfitting Mitigation in Wasserstein Distributionally Robust Optimization
106. ICLR 2025Provably Reliable Conformal Prediction Sets in the Presence of Data Poisoning
107. ICLR 2025Provably Safeguarding a Classifier from OOD and Adversarial Samples
108. ICLR 2025Rethinking Invariance Regularization in Adversarial Training to Improve Robustness-Accuracy Trade-off
109. ICLR 2025Robust Feature Learning for Multi-Index Models in High Dimensions
110. ICLR 2025Robust LLM safeguarding via refusal feature adversarial training
111. ICLR 2025Robust Representation Consistency Model via Contrastive Denoising
112. ICLR 2025Robust Transfer of Safety-Constrained Reinforcement Learning Agents
113. ICLR 2025Robustness Auditing for Linear Regression: To Singularity and Beyond
114. ICLR 2025Robustness Inspired Graph Backdoor Defense
115. ICLR 2025Robustness Reprogramming for Representation Learning
116. ICLR 2025Selective Unlearning via Representation Erasure Using Domain Adversarial Training
117. ICLR 2025Shh, don't say that! Domain Certification in LLMs
118. ICLR 2025Speech Robust Bench: A Robustness Benchmark For Speech Recognition
119. ICLR 2025Stochastic Bandits Robust to Adversarial Attacks
120. ICLR 2025Strong Preferences Affect the Robustness of Preference Models and Value Alignment
121. ICLR 2025Tailoring Mixup to Data for Calibration
122. ICLR 2025Targeted Attack Improves Protection against Unauthorized Diffusion Customization
123. ICLR 2025TASAR: Transfer-based Attack on Skeletal Action Recognition
124. ICLR 2025Tight Clusters Make Specialized Experts
125. ICLR 2025To Tackle Adversarial Transferability: A Novel Ensemble Training Method with Fourier Transformation
126. ICLR 2025Towards Certification of Uncertainty Calibration under Adversarial Attacks
127. ICLR 2025Towards Scalable Topological Regularizers
128. ICLR 2025Towards Understanding the Robustness of Diffusion-Based Purification: A Stochastic Perspective
129. ICLR 2025Training Robust Ensembles Requires Rethinking Lipschitz Continuity
130. ICLR 2025Unlearn and Burn: Adversarial Machine Unlearning Requests Destroy Model Accuracy
131. ICLR 2025Verifying Properties of Binary Neural Networks Using Sparse Polynomial Optimization
132. ICLR 2025Zero-cost Proxy for Adversarial Robustness Evaluation
133. ICML 2025Adapting to Evolving Adversaries with Regularized Continual Robust Training
134. ICML 2025Adaptive Median Smoothing: Adversarial Defense for Unlearned Text-to-Image Diffusion Models at Inference Time
135. ICML 2025Adversarial Combinatorial Semi-bandits with Graph Feedback
136. ICML 2025Adversarial Inputs for Linear Algebra Backends
137. ICML 2025Adversarial Perturbations Are Formed by Iteratively Learning Linear Combinations of the Right Singular Vectors of the Adversarial Jacobian
138. ICML 2025Adversarial Reasoning at Jailbreaking Time
139. ICML 2025Adversarial Robust Generalization of Graph Neural Networks
140. ICML 2025Adversarial Robustness in Two-Stage Learning-to-Defer: Algorithms and Guarantees
141. ICML 2025Adversarial Robustness via Deformable Convolution with Stochasticity
142. ICML 2025AdvPrompter: Fast Adaptive Adversarial Prompting for LLMs
143. ICML 2025All-Purpose Mean Estimation over R: Optimal Sub-Gaussianity with Outlier Robustness and Low Moments Performance
144. ICML 2025An Adaptive Orthogonal Convolution Scheme for Efficient and Flexible CNN Architectures
145. ICML 2025AutoAdvExBench: Benchmarking Autonomous Exploitation of Adversarial Example Defenses
146. ICML 2025Average Certified Radius is a Poor Metric for Randomized Smoothing
147. ICML 2025Backdoor Attacks in Token Selection of Attention Mechanism
148. ICML 2025Bi-perspective Splitting Defense: Achieving Clean-Seed-Free Backdoor Security
149. ICML 2025Boosting Adversarial Robustness with CLAT: Criticality Leveraged Adversarial Training
150. ICML 2025Can DBNNs Robust to Environmental Noise for Resource-constrained Scenarios?

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.