Create adversarial attacks against machine learning Windows malware detectors
- adversarial-machine-learning
- infosec
- python
- attack
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Create adversarial attacks against machine learning Windows malware detectors
Trading Environment(OpenAI Gym) + PPO(TensorForce)
Driver for 320x240, 240x240, 135x240 and 128x128 ST7789 displays written in MicroPython
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The repository host gives no description.
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THE MOST POWERFUL OFFENSIVE AI AGENT FOR PENTESTING , OSINT , AND ETHICAL HACKING
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Official code for Intrinsic Distribution Matching (IDM).
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Evidence archive for Jesus of Nazareth: research dossier (PDF), New Testament, gnostic and extracanonical gospels, church fathers, ancient witnesses, Roman legal documents, archaeology, and all 238 cited references — searchable reader at https://sybil-solutions.github.io/all-historical-evidence-of-jesus-christ/
Collecting & Hunting for IOCs with gusto and style
CaseCite is an open-source, self-hosted legal RAG caselaw research & document analysis platform.