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Title: GitHub - rabbidave/ZeroDay.Tools: Gen AI Hardening x Attack Suite · GitHub

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X Title: GitHub - rabbidave/ZeroDay.Tools: Gen AI Hardening x Attack Suite

Description: Gen AI Hardening x Attack Suite. Contribute to rabbidave/ZeroDay.Tools development by creating an account on GitHub.

Open Graph Description: Gen AI Hardening x Attack Suite. Contribute to rabbidave/ZeroDay.Tools development by creating an account on GitHub.

X Description: Gen AI Hardening x Attack Suite. Contribute to rabbidave/ZeroDay.Tools development by creating an account on GitHub.

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ABxJudge.py	https://github.com/rabbidave/ZeroDay.Tools/blob/main/ABxJudge.py
ABxJudge.py	https://github.com/rabbidave/ZeroDay.Tools/blob/main/ABxJudge.py
AttackEfficiency.mp4	https://github.com/rabbidave/ZeroDay.Tools/blob/main/AttackEfficiency.mp4
AttackEfficiency.mp4	https://github.com/rabbidave/ZeroDay.Tools/blob/main/AttackEfficiency.mp4
C4 - Context.jpg	https://github.com/rabbidave/ZeroDay.Tools/blob/main/C4%20-%20Context.jpg
C4 - Context.jpg	https://github.com/rabbidave/ZeroDay.Tools/blob/main/C4%20-%20Context.jpg
GraySwanAI_nanoGCG_ A fast + lightweight implementation of the GCG algorithm in PyTorch.pdf	https://github.com/rabbidave/ZeroDay.Tools/blob/main/GraySwanAI_nanoGCG_%20A%20fast%20%2B%20lightweight%20implementation%20of%20the%20GCG%20algorithm%20in%20PyTorch.pdf
GraySwanAI_nanoGCG_ A fast + lightweight implementation of the GCG algorithm in PyTorch.pdf	https://github.com/rabbidave/ZeroDay.Tools/blob/main/GraySwanAI_nanoGCG_%20A%20fast%20%2B%20lightweight%20implementation%20of%20the%20GCG%20algorithm%20in%20PyTorch.pdf
LICENSE	https://github.com/rabbidave/ZeroDay.Tools/blob/main/LICENSE
LICENSE	https://github.com/rabbidave/ZeroDay.Tools/blob/main/LICENSE
Observability.pptx	https://github.com/rabbidave/ZeroDay.Tools/blob/main/Observability.pptx
Observability.pptx	https://github.com/rabbidave/ZeroDay.Tools/blob/main/Observability.pptx
README.md	https://github.com/rabbidave/ZeroDay.Tools/blob/main/README.md
README.md	https://github.com/rabbidave/ZeroDay.Tools/blob/main/README.md
ZeroDayTools.ipynb	https://github.com/rabbidave/ZeroDay.Tools/blob/main/ZeroDayTools.ipynb
ZeroDayTools.ipynb	https://github.com/rabbidave/ZeroDay.Tools/blob/main/ZeroDayTools.ipynb
image.png	https://github.com/rabbidave/ZeroDay.Tools/blob/main/image.png
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requirements.txt	https://github.com/rabbidave/ZeroDay.Tools/blob/main/requirements.txt
requirements.txt	https://github.com/rabbidave/ZeroDay.Tools/blob/main/requirements.txt
README	https://github.com/rabbidave/ZeroDay.Tools
MIT license	https://github.com/rabbidave/ZeroDay.Tools
	https://colab.research.google.com/github/rabbidave/ZeroDay.Tools/blob/main/ZeroDayTools.ipynb
ZeroDay.Tools	https://www.zeroday.tools/
Attack Suite	https://colab.research.google.com/github/rabbidave/ZeroDay.Tools/blob/main/ZeroDayTools.ipynb
	https://github.com/rabbidave/ZeroDay.Tools#zerodaytools---gen-ai-hardening--attack-suite
LatentSpace.Tools	https://github.com/rabbidave/LatentSpace.Tools?tab=readme-ov-file#ai-security-architecture
	https://github.com/rabbidave/ZeroDay.Tools/blob/c711f7faf503c2cc89365db354e239e42715fe61/image.png
universal and transferable nature	https://llm-attacks.org/
conserved efficiency of text-based attack modalities	https://arxiv.org/pdf/2307.14061v1.pdf
non-trivial nature of hardening GenAI systems	https://www.latentspace.tools/
	https://github.com/rabbidave/ZeroDay.Tools#️-ai-security-framework-kill-chain--defense
	https://github.com/rabbidave/ZeroDay.Tools#vulnerability-visualization-example-pre-processed-optimization-attack
	https://camo.githubusercontent.com/6acefed4558afb772123725f44097480ef9133953f7c948ec994df2038c08071/68747470733a2f2f6d656469612e67697068792e636f6d2f6d656469612f76312e59326c6b505463354d4749334e6a45785a5852764e576c715a576869596d4672626d7033613252734f545a6d64545135596d59305a6e55314f4749794e573877596d566f62535a6c634431324d563970626e526c636d35686246396e61575a66596e6c666157516d593351395a772f4b30555a4a696243736136547930434979492f736f757263652e676966
	https://github.com/rabbidave/ZeroDay.Tools#-core-components-aiml-hardening-checklist
Observability Powerpoint	https://github.com/rabbidave/Enterprise-Executive-Summaries/blob/main/Observability.pptx
Kill Chain Step 1) Optimization-Free Attacks	https://github.com/rabbidave/ZeroDay.Tools#optimization-free-attack-details
	https://github.com/rabbidave/ZeroDay.Tools#kill-chain-step-1-optimization-free-attacks
specific API fields	https://cookbook.openai.com/examples/using_logprobs
Kill Chain Step 2) System Context Extraction	https://github.com/rabbidave/ZeroDay.Tools#system-context-extraction-details
	https://github.com/rabbidave/ZeroDay.Tools#kill-chain-step-2-system-context-extraction
‘time-based blind SQL injection’	https://owasp.org/www-community/attacks/Blind_SQL_Injection
Multimodal Models	https://arxiv.org/pdf/2307.08715v2.pdf
Kill Chain Step 3) Model Context Extraction	https://github.com/rabbidave/ZeroDay.Tools#model-context-extraction-details
	https://github.com/rabbidave/ZeroDay.Tools#kill-chain-step-3-model-context-extraction
decoding embeddings	https://github.com/jxmorris12/vec2text
Kill Chain Step 4) Pre-Processed Attacks	https://github.com/rabbidave/ZeroDay.Tools#pre-processed-attack-details
	https://github.com/rabbidave/ZeroDay.Tools#kill-chain-step-4-pre-processed-attacks
a localized target	https://huggingface.co/docs/huggingface_hub/main/en/package_reference/hf_file_system
Language Models	https://llm-attacks.org/
Mutlimodal Models	https://huggingface.co/liuhaotian/llava-v1.5-13b
SGA	https://github.com/Zoky-2020/SGA
VLAttack	https://github.com/ericyinyzy/VLAttack
evade 'Guard Models'	https://arxiv.org/pdf/2402.15911.pdf
Kill Chain Step 5) Training Data Extraction	https://github.com/rabbidave/ZeroDay.Tools#training-data-extraction-details
	https://github.com/rabbidave/ZeroDay.Tools#kill-chain-step-5-training-data-extraction
Kill Chain Step 6) Model Data Extraction	https://github.com/rabbidave/ZeroDay.Tools#model-data-extraction-details
	https://github.com/rabbidave/ZeroDay.Tools#kill-chain-step-6-model-data-extraction
IP Loss	https://arxiv.org/pdf/2403.06634.pdf
“high-risk systems”	https://cset.georgetown.edu/article/the-eu-ai-act-a-primer/
myriad vulnerable platforms	https://github.com/trailofbits/LeftoverLocalsRelease
Kill Chain Step 7) Supply Chain & Data Poisoning	https://github.com/rabbidave/ZeroDay.Tools#supply-chain--data-poisoning-details
	https://github.com/rabbidave/ZeroDay.Tools#kill-chain-step-7-supply-chain--data-poisoning
“high-risk systems”	https://cset.georgetown.edu/article/the-eu-ai-act-a-primer/
Team Debrief re: Model-Specific Vulnerabilities	https://github.com/rabbidave/ZeroDay.Tools#model-specific-vulnerability-details
	https://github.com/rabbidave/ZeroDay.Tools#team-debrief-re-model-specific-vulnerabilities
	https://github.com/rabbidave/ZeroDay.Tools#️-detailed-vulnerability-remediation--mitigation-strategies
	https://github.com/rabbidave/ZeroDay.Tools#optimization-free-attack-details
specific API fields	https://cookbook.openai.com/examples/using_logprobs
Mitigate low-complexity priming attacks	https://llmpriming.focallab.org/
evaluation of input/output embeddings	https://www.latentspace.tools/#h.de5k8d8cxz8c
Next-Token Probabilities aka Logits	https://cookbook.openai.com/examples/using_logprobs
	https://github.com/rabbidave/ZeroDay.Tools#system-context-extraction-details
‘time-based blind SQL injection’	https://owasp.org/www-community/attacks/Blind_SQL_Injection
Multimodal Models	https://arxiv.org/pdf/2307.08715v2.pdf
Application-Specific Firewalls	https://www.f5.com/glossary/application-firewall
Error Handling Best-Practices	https://brightsec.com/blog/error-based-sql-injection/
evaluating conformity of inputs/outputs	https://www.latentspace.tools/#h.rmca9kuof4sx
	https://github.com/rabbidave/ZeroDay.Tools#model-context-extraction-details
Access to Embeddings for Decoding	https://github.com/jxmorris12/vec2text
pre-defined rules	https://developer.nvidia.com/blog/nvidia-enables-trustworthy-safe-and-secure-large-language-model-conversational-systems/
decodable embeddings	https://github.com/jxmorris12/vec2text
appropriate levels of noise	https://arxiv.org/pdf/2310.06816.pdf
	https://github.com/rabbidave/ZeroDay.Tools#pre-processed-attack-details
a localized target	https://huggingface.co/docs/huggingface_hub/main/en/package_reference/hf_file_system
SGA	https://github.com/Zoky-2020/SGA
VLAttack	https://github.com/ericyinyzy/VLAttack
evade 'Guard Models'	https://arxiv.org/pdf/2402.15911.pdf
Defeat pre-processed optimization attacks	https://www.latentspace.tools/
clustering, and flagging of non-conforming entries	https://www.latentspace.tools/#h.lwa4hv3scloi
	https://github.com/rabbidave/ZeroDay.Tools#training-data-extraction-details
Prevent disclosure of underlying data	https://not-just-memorization.github.io/extracting-training-data-from-chatgpt.html
whitelisting & monitoring of allowed topics	https://developer.nvidia.com/blog/nvidia-enables-trustworthy-safe-and-secure-large-language-model-conversational-systems/
DLP	https://www.microsoft.com/en-us/security/business/security-101/what-is-data-loss-prevention-dlp
active statistical monitoring	https://www.latentspace.tools/
	https://github.com/rabbidave/ZeroDay.Tools#model-data-extraction-details
myriad vulnerable platforms	https://github.com/trailofbits/LeftoverLocalsRelease
IP Loss	https://arxiv.org/pdf/2403.06634.pdf
“high-risk systems”	https://cset.georgetown.edu/article/the-eu-ai-act-a-primer/
	https://github.com/rabbidave/ZeroDay.Tools#supply-chain--data-poisoning-details
“high-risk systems”	https://cset.georgetown.edu/article/the-eu-ai-act-a-primer/
Supply Chain	https://www.crowdstrike.com/cybersecurity-101/cyberattacks/supply-chain-attacks/
Data Poisoning	https://spectrum.ieee.org/ai-cybersecurity-data-poisoning
Open-Source Foundation Models and Open-Source Data	https://huggingface.co/docs/huggingface_hub/main/en/package_reference/hf_file_system
Data Provenance/Lineage	https://www.graphable.ai/blog/what-is-data-lineage-data-provenance/
	https://github.com/rabbidave/ZeroDay.Tools#model-specific-vulnerability-details
Defense in Depth	https://en.wikipedia.org/wiki/Defense_in_depth_(computing)
Purple Teaming	https://www.splunk.com/en_us/blog/learn/purple-team.html
attack & defense paradigms	https://owasp.org/www-project-top-10-for-large-language-model-applications/
code-generation	https://ai.meta.com/llama/purple-llama/#cybersecurity
vulnerability	https://github.com/cleverhans-lab/cleverhans
contribute to the community	https://www.zeroday.tools/
	https://github.com/rabbidave/ZeroDay.Tools#️-practical-applications--use-cases
Self-Supervised Systems	https://github.com/microsoft/TaskWeaver
AI Assistants	https://platform.openai.com/docs/assistants/overview
Agentic Frameworks	https://learn.microsoft.com/en-us/semantic-kernel/overview/
indirect injection	https://github.com/greshake/llm-security#compromising-llms-using-indirect-prompt-injection
adversarial strings	https://llm-attacks.org/
Models designed to call external functions	https://github.com/nexusflowai/NexusRaven/
tooling frameworks	https://python.langchain.com/docs/integrations/tools/
privilege escalation	https://www.crowdstrike.com/cybersecurity-101/privilege-escalation/
open-source	https://arxiv.org/pdf/2311.17035.pdf#subsection.5.2
semi-closed	https://arxiv.org/pdf/2311.17035.pdf
closed-source	https://arxiv.org/pdf/2311.17035.pdf#subsection.5.2
targeting behavior	https://arxiv.org/pdf/2311.17035.pdf#subsection.5.1
high-precision recall of underlying training data	https://arxiv.org/pdf/2311.17035.pdf#subsection.5.7
GDPR-compliant data deletion	https://gdpr-info.eu/art-17-gdpr/
alongside layer validation	https://weightwatcher.ai/
LLM Architectures & Monitoring	https://www.latentspace.tools/
	https://github.com/rabbidave/ZeroDay.Tools#-expanding-scope-traditional-ml--reinforcement-learning
	https://github.com/rabbidave/ZeroDay.Tools#reinforcement-learning---invisible-blackbox-perturbations-compound-over-time
adversarial training increases robustness	https://blogs.ucl.ac.uk/steapp/2023/12/20/adversarial-attacks-robustness-and-generalization-in-deep-reinforcement-learning/
	https://github.com/rabbidave/ZeroDay.Tools#discriminative-machine-learning---probe-for-pipeline--package-dependencies
exploited repos	https://thehackernews.com/2023/12/116-malware-packages-found-on-pypi.html
analytics packages	https://security.snyk.io/package/pip/pyspark
	https://github.com/rabbidave/ZeroDay.Tools#-getting-started--key-resources
Colab Notebook	https://colab.research.google.com/github/rabbidave/ZeroDay.Tools/blob/main/ZeroDayTools.ipynb
Gen AI Vulnerabilities x Exposures	https://github.com/rabbidave/ZeroDay.Tools#core-components-aiml-hardening-checklist
Detailed Vulnerability Remediation & Mitigation Strategies	https://github.com/rabbidave/ZeroDay.Tools#detailed-vulnerability-remediation--mitigation-strategies
Observability Powerpoint	https://github.com/rabbidave/Enterprise-Executive-Summaries/blob/main/Observability.pptx
LatentSpace.Tools	https://github.com/rabbidave/LatentSpace.Tools?tab=readme-ov-file#ai-security-architecture
	https://github.com/rabbidave/ZeroDay.Tools#-key-benefits-of-this-framework
www.zeroday.tools	https://www.zeroday.tools
Readme	https://github.com/rabbidave/ZeroDay.Tools#readme-ov-file
MIT license	https://github.com/rabbidave/ZeroDay.Tools#MIT-1-ov-file
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3 forks	https://github.com/rabbidave/ZeroDay.Tools/forks
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Releases	https://github.com/rabbidave/ZeroDay.Tools/releases
Packages 0	https://github.com/users/rabbidave/packages?repo_name=ZeroDay.Tools
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Contributors	https://github.com/rabbidave/ZeroDay.Tools/graphs/contributors
Please reload this page	https://github.com/rabbidave/ZeroDay.Tools
Jupyter Notebook 53.0%	https://github.com/rabbidave/ZeroDay.Tools/search?l=jupyter-notebook
Python 47.0%	https://github.com/rabbidave/ZeroDay.Tools/search?l=python
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