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

311 papers, page 2 of 7

51. ICML 2026On Robustness and Chain-of-Thought Consistency of RL-Finetuned VLMs
52. ICML 2026On the Adversarial Robustness of Large Vision-Language Models under Visual Token Compression
53. ICML 2026On the Existence of Consistent Adversarial Attacks in High-Dimensional Linear Classification
54. ICML 2026On the Robustness of Langevin Dynamics to Score Function Error
55. ICML 2026Optimal Attention Temperature Improves the Robustness of In-Context Learning under Distribution Shift in High Dimensions
56. ICML 2026Posterior Mismatch Matters: Adversarial Training for Long-Tailed Robustness
57. ICML 2026Proactive Defense Benchmark against Deepfake Generation
58. ICML 2026Probabilistic Robustness Certificates against Adversarial Attacks
59. ICML 2026Provably Efficient Policy-Reward Co-Pretraining for Adversarial Imitation Learning
60. ICML 2026PSMix: Robust Point Cloud Recognition through Spectral Domain Mixing
61. ICML 2026RADAR: Defending RAG Dynamically against Retrieval Corruption
62. ICML 2026Regret Minimization With a Crowd of Awakening Experts
63. ICML 2026Reward Under Attack: Analyzing the Robustness and Hackability of Process Reward Models
64. ICML 2026Ripple Perturbations Through Structure: Likelihood-Constrained Adversarial Attacks on Heterogeneous Tabular Data
65. ICML 2026Robust Bayesian Optimisation with Unbounded Corruptions
66. ICML 2026Robust Linear Dueling Bandits with Post-serving Context under Unknown Delays and Adversarial Corruptions
67. ICML 2026Robust Vision-Language Models via Manifold-Adversarial Adapters
68. ICML 2026Robustness of Mixtures of Experts to Feature Noise
69. ICML 2026Safety-Efficacy Trade Off: Robustness against Data-Poisoning
70. ICML 2026Scalable GANs with Transformers
71. ICML 2026Security--Fidelity Tradeoffs: The Hidden Cost of Prompt Injection Defense
72. ICML 2026Segment Anything with Robust Uncertainty-Accuracy Correlation
73. ICML 2026Self-Calibrated Consistency can Fight Back for Adversarial Robustness in Vision-Language Models
74. ICML 2026Semantic Router: On the Feasibility of Hijacking MLLMs via a Single Adversarial Perturbation
75. ICML 2026Ski Rental with Distributional Predictions of Unknown Quality
76. ICML 2026SORA: Free Second-Order Attacks in Fast Adversarial Training
77. ICML 2026SS-TPT: Stability and Suitability-Guided Test-Time Prompt Tuning for Adversarially Robust Vision-Language Models
78. ICML 2026Statistically Undetectable Backdoors in Deep Neural Networks
79. ICML 2026Steering Beyond the Support: Adversarial Training on Unsupervised Jailbroken Activation Simulation
80. ICML 2026Stochastic Order Learning: An Approach to Rank Estimation Using Noisy Data
81. ICML 2026Suppress and Diversify: Refining Robust Pathways for Corruption Robustness
82. ICML 2026SWE-ABS: Adversarial Benchmark Strengthening Exposes Inflated Success Rates on Test-based Benchmark
83. ICML 2026The Latent Guardian: Defending Collaborative Perception via Feature-Level Consistency Verification
84. ICML 2026Toward Understanding Adversarial Distillation: Why Robust Teachers Fail
85. ICML 2026Towards Fine-Grained Robustness: Attention-Guided Test-Time Prompt Tuning for Vision-Language Models
86. ICML 2026Towards Optimal Robustness in Learning-Augmented Paging
87. ICML 2026Towards Understanding Generalization of Federated Adversarial Learning: Perspective of Algorithmic Stability
88. ICML 2026Training with Honeypots: Reshaping How LLMs Fail Under Adversarial Attacks
89. ICML 2026Training-Free Adversarial Robustness in Computational MRI
90. ICML 2026Two Modalities Are Better Than One: Efficient Adversarial Purification via Multimodal Diffusion Models
91. ICML 2026Unifying Adversarial Robustness and Training Across Text Scoring Models
92. ICML 2026When Can You Poison Rewards? A Tight Characterization of Reward Poisoning in Linear MDPs
93. ICML 2026You Don't Protect if You Don't Expect: Breaking the Key Assumption behind CLIP's Test-Time Defenses
94. ICML 2025Adapting to Evolving Adversaries with Regularized Continual Robust Training
95. ICML 2025Adaptive Median Smoothing: Adversarial Defense for Unlearned Text-to-Image Diffusion Models at Inference Time
96. ICML 2025Adversarial Combinatorial Semi-bandits with Graph Feedback
97. ICML 2025Adversarial Inputs for Linear Algebra Backends
98. ICML 2025Adversarial Perturbations Are Formed by Iteratively Learning Linear Combinations of the Right Singular Vectors of the Adversarial Jacobian
99. ICML 2025Adversarial Reasoning at Jailbreaking Time
100. ICML 2025Adversarial Robust Generalization of Graph Neural Networks

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.