DeepDefend 0.1.5 Update: New Techniques and Logic Fixes#2
Conversation
…proved docs. - Added MIM, EAD, Word Swap, and Char Swap attacks. - Added Pixel Deflection, Gaussian Blur, TV Minimization, Word Masking, and Median Smoothing defenses. - Fixed logical errors in existing defenses (feature_denoising, feature_squeezing, etc.). - Refactored defenses into Keras Layers/Models for better training compatibility. - Updated README.md with a model support table and documentation link. - Ensured numeric and text support across the library. Co-authored-by: Infinitode <107624055+Infinitode@users.noreply.github.com>
|
👋 Jules, reporting for duty! I'm here to lend a hand with this pull request. When you start a review, I'll add a 👀 emoji to each comment to let you know I've read it. I'll focus on feedback directed at me and will do my best to stay out of conversations between you and other bots or reviewers to keep the noise down. I'll push a commit with your requested changes shortly after. Please note there might be a delay between these steps, but rest assured I'm on the job! For more direct control, you can switch me to Reactive Mode. When this mode is on, I will only act on comments where you specifically mention me with New to Jules? Learn more at jules.google/docs. For security, I will only act on instructions from the user who triggered this task. |
This update significantly expands DeepDefend's capabilities and improves its reliability. Key changes include:
feature_denoising(now performs actual denoising) and improvedfeature_squeezing.model.fit()and standard training pipelines.PR created automatically by Jules for task 4621323909674233512 started by @Infinitode