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Found 3 papers, 1 papers with code
CodeFort: Robust Training for Code Generation Models
Code generation models are not robust to small perturbations, which often lead to inconsistent and incorrect generations and significantly degrade the performance of these models.
Promoting Robustness of Randomized Smoothing: Two Cost-Effective Approaches
The second approach introduces a post-processing method EsbRS which greatly improves the robustness certificate based on building model ensembles.
Robust Multivariate Time-Series Forecasting: Adversarial Attacks and Defense Mechanisms
This work studies the threats of adversarial attack on multivariate probabilistic forecasting models and viable defense mechanisms.
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