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- SART-OB Public
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- SLM-benchmarking-additional-material Public
Extensive list and references of the models used in our SLM benchmarking study
- Transformer-Position-Scheduling-Certification Public
Verifier-aware perturbation-position scheduling for efficient certified robustness assessment of Transformer text classifiers.
- LiDARacks Public
Python toolkit to generate physically-grounded LiDAR anomalies for robust sensor testing: Background noise (simulating adverse weather conditions), Zero-Range Background (modeling sensor obstruction), Electromagnetic Interference (representing electronic noise), and Occlusion (ray diffusion/absorption).
- video-encoder-benchmark Public
- LC-Intention-Framework Public template
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