What You Need to Know Before
You Start

Starts 8 July 2025 21:32

Ends 8 July 2025

00 Days
00 Hours
00 Minutes
00 Seconds
course image

Sleeping with One AI Open

Join us for an in-depth exploration of adversarial attacks on AI and ML systems. This event will illuminate the potential real-world ramifications of these attacks and arm you with effective strategies to mitigate them. As AI-driven technologies become more prevalent across various sectors, understanding the associated risks and security con.
44CON Information Security Conference via YouTube

44CON Information Security Conference

2765 Courses


56 minutes

Optional upgrade avallable

Not Specified

Progress at your own speed

Conference Talk

Optional upgrade avallable

Overview

Join us for an in-depth exploration of adversarial attacks on AI and ML systems. This event will illuminate the potential real-world ramifications of these attacks and arm you with effective strategies to mitigate them.

As AI-driven technologies become more prevalent across various sectors, understanding the associated risks and security considerations becomes crucial. This session provides valuable insights tailored for professionals seeking to enhance their knowledge of AI security.

Available on YouTube under the categories of Artificial Intelligence Courses and Conference Talks, this is a must-attend event for anyone involved in the AI industry.

Syllabus

  • Introduction to Adversarial Attacks
  • Definition and Overview of Adversarial Attacks
    Historical Context and Evolution
    Key Terminologies and Concepts
  • Types of Adversarial Attacks
  • Evasion Attacks
    Poisoning Attacks
    Model Stealing Attacks
    Inference Attacks
  • Adversarial Attacks in AI/ML Systems
  • Impact on Image Recognition Models
    Vulnerabilities in Natural Language Processing
    Challenges in Autonomous Systems
    Adversarial Examples in Reinforcement Learning
  • Case Studies of Adversarial Attacks
  • High-Profile Incidents and Analysis
    Sector-specific Vulnerabilities
    Lessons Learned and Best Practices
  • Real-World Implications and Risks
  • Ethical Considerations and Accountability
    Economic Impact on Businesses
    Privacy and Security Concerns
    Regulatory and Legal Aspects
  • Mitigation Strategies for Adversarial Attacks
  • Robustness and Defense Techniques
    Adversarial Training Models
    Monitoring and Detection Systems
    Use of AI for Threat Intelligence
  • Security Considerations in AI-Driven Technologies
  • Best Practices for AI Security
    Designing Secure AI Systems
    Assessing and Managing Risk in AI Deployments
  • Sector-Specific Security Challenges
  • Healthcare
    Finance
    Automotive and Transportation
    Telecommunications
  • Future Trends and Research Directions
  • Emerging Threats in AI Security
    Innovations in Defense Mechanisms
    Role of AI Ethics in Security Research
  • Course Summary and Final Assessment
  • Recap of Key Concepts
    Final Project/Assessment
    Resources for Continued Learning

Subjects

Conference Talks