Caroline Chaux

Unveiling and Mitigating Adversarial Vulnerabilities in Iterative Optimizers

2025 · IEEE Transactions on Signal Processing

Machine learning (ML) models are often sensitive to carefully crafted yet seemingly unnoticeable perturbations. Such adversarial examples are considered to be a property of ML models, often associated with their black-box operation and sensitivity to …