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=Links=
 
=Links=
 
==adversarial attacks==
 
==adversarial attacks==
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* Praxis-Beispiele: https://boingboing.net/tag/adversarial-examples
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* https://bdtechtalks.com/2018/12/27/deep-learning-adversarial-attacks-ai-malware/
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===paraphrasing attacks===
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* https://venturebeat.com/2019/04/01/text-based-ai-models-are-vulnerable-to-paraphrasing-attacks-researchers-find/
 
* https://bdtechtalks.com/2019/04/02/ai-nlp-paraphrasing-adversarial-attacks/
 
* https://bdtechtalks.com/2019/04/02/ai-nlp-paraphrasing-adversarial-attacks/
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===Tesla===
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* https://spectrum.ieee.org/cars-that-think/transportation/self-driving/three-small-stickers-on-road-can-steer-tesla-autopilot-into-oncoming-lane
 
* https://boingboing.net/2019/03/31/mote-in-cars-eye.html
 
* https://boingboing.net/2019/03/31/mote-in-cars-eye.html
* https://venturebeat.com/2019/04/01/text-based-ai-models-are-vulnerable-to-paraphrasing-attacks-researchers-find/
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** Paper vom Forschungsteam: https://keenlab.tencent.com/en/whitepapers/Experimental_Security_Research_of_Tesla_Autopilot.pdf
* https://spectrum.ieee.org/cars-that-think/transportation/self-driving/three-small-stickers-on-road-can-steer-tesla-autopilot-into-oncoming-lane
 
 
===HowTo's===
 
===HowTo's===
 
* https://towardsdatascience.com/know-your-enemy-7f7c5038bdf3
 
* https://towardsdatascience.com/know-your-enemy-7f7c5038bdf3

Version vom 4. April 2019, 02:22 Uhr

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