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Up to 100 retained publisher events per page for b8d86087b1c53819864c80058ff30dbedbfabb3b4bf79820c3e3628989027ae1. Withdrawals and unavailable references remain attributed to their publishers.

intelligence_src_c25d91fa3ad9ae9ac7

observed · 2026-10-12 14:53:03 UTC

available

Fingerprint: 0a2f1bebc7ea800736eafab237a0ddecfb8797a02d23951e8aa80935e2f3446f

intelligence_src_c25d91fa3ad9ae9ac7

observed · 2026-10-12 14:53:03 UTC

This post is part of a series about machine learning and artificial intelligence. Click on the blog tag “huskyai” to see related posts. Overview: How Husky AI was built, threat modeled and operationalized Attacks: Some of the attacks I want to investigate, learn about, and try out A few weeks ago while preparing demos for my GrayHat 2020 - Red Team Village presentation I ran across “Image Scaling Attacks” in Adversarial Preprocessing: Understanding and Preventing Image-Scaling Attacks in Machine Learning by Erwin Quiring, et al.

Fingerprint: ff3bedf1c26745fac65e2374f49ef73366c6e8203149e87918c15d85379ce4ab