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1
intro
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preamble
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about me
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machine learning introduction
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what is adversarial machine learning?
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types of adversarial machine learning attacks
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poisoning attack
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tay chatbot
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poisongpt
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property inference attack
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membership inference attack
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model extraction attack
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evasion attack
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invisibiliyu cloak
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attacking tesla's autopilot
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attacking object detection systems
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owasp top 10 for large language models
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mitigation strategies
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mitigating adversarial ml attacks
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summary
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my contact information
Description:
Save Big on Coursera Plus. 7,000+ courses at $160 off. Limited Time Only! Grab it Explore the world of adversarial machine learning in this comprehensive conference talk from Conf42 ML 2024. Delve into various types of attacks, including poisoning, property inference, membership inference, model extraction, and evasion. Examine real-world examples such as the Tay chatbot incident, PoisonGPT, and attacks on Tesla's autopilot and object detection systems. Learn about the OWASP Top 10 for large language models and discover effective mitigation strategies to protect against adversarial machine learning threats. Gain valuable insights into this critical aspect of AI security and its implications for the future of machine learning.

A Beginner's Guide to Adversarial Machine Learning

Conf42
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#Computer Science #Machine Learning #Adversarial Machine Learning #Information Security (InfoSec) #Cybersecurity
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intro