CLAD: Constrained Abstract Domain for Neural Network Verification
cs.SE, cs.LG
Submitted: 2026-09-28
Updated: 2026-10-06
Terminology
Sources
- FGGM: Formal Grey-box Gradient Method for Attacking DRL-based MU-MIMO Scheduler
- Verifying DNN-based Semantic Communication Against Generative Adversarial Noise
- Scalable Neural Network Verification with Branch-and-bound Inferred Cutting Planes
- The 6th International Verification of Neural Networks Competition (VNN-COMP 2025): Summary and Results
- Fast and Complete: Enabling Complete Neural Network Verification with Rapid and Massively Parallel Incomplete Verifiers
- The Fifth International Verification of Neural Networks Competition (VNN-COMP 2024): Summary and Results
- A DPLL(T) Framework for Verifying Deep Neural Networks
- Complete Verification via Multi-Neuron Relaxation Guided Branch-and-Bound
- Improved Branch and Bound for Neural Network Verification via Lagrangian Decomposition
Related papers
- Falsification-Based Verification of LLM-Generated Optimization Models: Sound Test Batteries and Their Detection Limits
- GitSkills: A Dataset of Agent Skills on GitHub
- SABER: Benchmarking Operational Safety of LLM Coding Agents in Stateful Project Workspaces
- PackMonitor: Enabling Zero Package Hallucinations Through Decoding-Time Monitoring
- IntentCoding: Amplifying User Intent in Code Generation
- Incentives and Outcomes in Bug Bounties