Adversarial attacks on neural networks

What experts have said about Adversarial attacks on neural networks

1 statement · 1 negative

1. Reiner PopeNegativeApr 29, 2026· Dwarkesh Podcast

   Neural networks can have outputs radically changed by very small input perturbations.

   “A very, very small perturbation of the image that totally changes the classification, totally changes the output. That is the common case in ciphers, whereas that's the undesired case in neural nets.”

   Listen at 2:08:05

   Open the episode · Reiner Pope – The math behind how LLMs are trained and served

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