Adversarial ML coverage for engineers shipping ML systems. Membership inference, model extraction, evasion attacks, training-data extraction, backdoors — focused on what's exploitable against deployed models and what defenders can actually do about it. PoCs against open models, behavioral analysis for closed ones.https://adversarialml.dev/enhttps://adversarialml.dev/posts/gcg-class-adversarial-suffix-2026/https://adversarialml.dev/posts/gcg-class-adversarial-suffix-2026/The math, the cost curve, and why optimization-based attacks are now within reach of solo practitioners. With reproducible setup and what defenders actually need to do.Thu, 07 May 2026 00:00:00 GMTadversarial-mlgcgoptimization-attacksred-teamalignmentAdversarial ML Editorialhttps://adversarialml.dev/posts/welcome/https://adversarialml.dev/posts/welcome/Adversarial ML covers attacks against deployed ML systems and the defenses that hold up. Here's what we publish.Sun, 03 May 2026 00:00:00 GMTmetaAdversarial ML Editorial