Adith Boloor

Simple Physical Adversarial Examples against End-to-End Autonomous Driving Models

2019 · arXiv (Cornell University)

Recent advances in machine learning, especially techniques such as deep neural networks, are promoting a range of high-stakes applications, including autonomous driving, which often relies on deep learning for perception. While deep learning for perception …

Can Optical Trojans Assist Adversarial Perturbations?

2021

Recent work has demonstrated how physically realizable attacks on neural network vision pipelines can consistently produce misclassifications of a given target object. A smaller body of work has also produced modifications that can be applied …