Verification papers, 2023–2026

Key findings

• Verification went from 8 papers in 2023 to 48 in 2026, roughly 6.0x in three years.
• NeurIPS publishes the most Verification work: 45 papers from 2023 to 2026, 41% of the four-venue total.
• The fastest-growing overlap is with Reasoning Models: papers tagged with both rose from 0 in 2023 to 8 in 2026.
• Among the 5 topics under Security and Trust, it ranks #4 by 2026 paper count; the fastest grower in the group, Watermarking, is up 9.3x versus 6.0x here.

Representative papers

Spread across years and venues so every edition shows up

• NeurIPS 2026Affine-Image Propagation for Tight and Scalable $\ell_{2}$ Neural Network Verification
• ICML 2026Euclean: Automated Geometry Problem Formalization with Unified Verification in Lean
• ICLR 2026Parameterized Hardness of Zonotope Containment and Neural Network Verification
• CVPR 2026Goldilocks Test Sets for Face Verification
• NeurIPS 2025Self-Verification Provably Prevents Model Collapse in Recursive Synthetic Training
• ICML 2025SDP-CROWN: Efficient Bound Propagation for Neural Network Verification with Tightness of Semidefinite Programming
• ICLR 2025Beyond Model Collapse: Scaling Up with Synthesized Data Requires Verification
• CVPR 2025PHGC: Procedural Heterogeneous Graph Completion for Natural Language Task Verification in Egocentric Videos
• NeurIPS 2024Critically Assessing the State of the Art in Neural Network Verification
• ICML 2024Compact Optimality Verification for Optimization Proxies
• ICLR 2024CRITIC: Large Language Models Can Self-Correct with Tool-Interactive Critiquing
• CVPR 2024Towards General Robustness Verification of MaxPool-based Convolutional Neural Networks via Tightening Linear Approximation
• NeurIPS 2023[Re] On the Reproducibility of “FairCal: Fairness Calibration for Face Verification”
• ICML 2023Trapdoor Normalization with Irreversible Ownership Verification
• ICLR 2023Fundamental Limits in Formal Verification of Message-Passing Neural Networks
• CVPR 2023Efficient Verification of Neural Networks Against LVM-Based Specifications
• NeurIPS 2026End-to-End Verification of Neuro-symbolic Automata via Contrastive Logit-Gaps
• ICML 2026The Latent Guardian: Defending Collaborative Perception via Feature-Level Consistency Verification
• ICLR 2026Test-time Verification via Optimal Transport: Coverage, ROC, & Sub-optimality
• CVPR 2026Lipschitz Optimization for Formal Verification of Homographies

All Verification papers

22 papers, page 1 of 1

1. CVPR 2024Towards General Robustness Verification of MaxPool-based Convolutional Neural Networks via Tightening Linear Approximation
2. ICLR 2024CRITIC: Large Language Models Can Self-Correct with Tool-Interactive Critiquing
3. ICLR 2024Expressivity of ReLU-Networks under Convex Relaxations
4. ICLR 2024Lemur: Integrating Large Language Models in Automated Program Verification
5. ICLR 2024Prediction without Preclusion: Recourse Verification with Reachable Sets
6. ICML 2024Compact Optimality Verification for Optimization Proxies
7. ICML 2024Copula-Nested Spectral Kernel Network
8. ICML 2024Physics-Informed Neural Network Policy Iteration: Algorithms, Convergence, and Verification
9. ICML 2024Relational DNN Verification With Cross Executional Bound Refinement
10. ICML 2024SLEB: Streamlining LLMs through Redundancy Verification and Elimination of Transformer Blocks
11. ICML 2024Verification of Machine Unlearning is Fragile
12. ICML 2024VNN: Verification-Friendly Neural Networks with Hard Robustness Guarantees
13. NeurIPS 2024Compact Proofs of Model Performance via Mechanistic Interpretability
14. NeurIPS 2024Critically Assessing the State of the Art in Neural Network Verification
15. NeurIPS 2024FVEL: Interactive Formal Verification Environment with Large Language Models via Theorem Proving
16. NeurIPS 2024Neural Model Checking
17. NeurIPS 2024Optimistic Verifiable Training by Controlling Hardware Nondeterminism
18. NeurIPS 2024Relational Verification Leaps Forward with RABBit
19. NeurIPS 2024Scalable Neural Network Verification with Branch-and-bound Inferred Cutting Planes
20. NeurIPS 2024SEEV: Synthesis with Efficient Exact Verification for ReLU Neural Barrier Functions
21. NeurIPS 2024Test Where Decisions Matter: Importance-driven Testing for Deep Reinforcement Learning
22. NeurIPS 2024ZeroMark: Towards Dataset Ownership Verification without Disclosing Watermark

FAQ

How many Verification papers were published at NeurIPS, ICLR, ICML and CVPR from 2023 to 2026?

111 in total: 8 in 2023, 22 in 2024, 33 in 2025, 48 in 2026.

How many Verification papers are at NeurIPS 2026?

NeurIPS 2026 has 19 Verification papers, versus 15 the year before.

How many Verification papers are at ICLR 2026?

ICLR 2026 has 14 Verification papers, versus 6 the year before.

How many Verification papers are at ICML 2026?

ICML 2026 has 12 Verification papers, versus 8 the year before.

How many Verification papers are at CVPR 2026?

CVPR 2026 has 3 Verification papers, versus 4 the year before.

Which conference publishes the most Verification papers?

NeurIPS, with 45 papers from 2023 to 2026.