Anmol Agarwal
Senior AI Security Researcher/Speaker/Consultant
Dallas, Texas, United States
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Dr. Anmol Agarwal is a senior security researcher focused on securing 5G and 6G. Dr. Agarwal is an active speaker and has spoken at numerous international events and conferences to educate the public about cybersecurity and data science concepts. As a part of her role, she regularly contributes new ideas for securing AI used in the next generation of wireless communication networks. She has published papers in prestigious international IEEE conferences. She is also an adjunct professor teaching Machine Learning to doctoral students. She holds a doctoral degree in cybersecurity analytics. In her free time, she enjoys mentoring others in the tech community and traveling.
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Area of Expertise
Topics
SecureWorld Dallas
The Dark Side of AI - Using AI to Enable Attacks
Link is Youtube video recording
National Cyber Summit
Introduction to Machine Learning Attacks
Link goes to Youtube video recording of the event.
Techno Security and Digital Forensics Conference
Deep Fake Dangers: Protect Yourself from AI Lies
NTX ISSA Conference - CSC 12
Understanding AI Security
ISE Expo
Unraveling Adversarial Machine Learning
Machine learning is ubiquitous today. As we begin to rely on it for daily tasks, threat factors will begin to target it. Attendees will learn about adversarial machine learning and the different kinds of attacks. In addition, learn about real world case studies regarding attacks that have impacted the industry.
Conf42 Machine Learning 2024 - Online
Virtual conference - talk title "A Beginners Guide to Adversarial Machine Learning"
We Teach CS Summit
Empowering Educators: Bringing AI Security Concepts Into the Classroom
Due to the rise of AI and Machine Learning, it is crucial to educate the next generation about using AI and Machine Learning for cybersecurity. While AI and Machine Learning have many benefits, it is important to understand these concepts in relation to cybersecurity because systems are increasingly being targeted. Attendees will learn the best practices to ensure that AI/ML used in cybersecurity environments has been secured. In this talk, attendees will discover how AI/ML works, use cases in cybersecurity, some security concerns with AI/ML in cybersecurity, and best practices to secure machine learning and AI. Attendees will also be given an overview of useful resources that can be used to bring these concepts to the classroom.
2024 IEEE Smart Nets Conference
Presented my IEEE paper titled "End to End System Level Solution for DDoS Attack Detection and Prediction for 5G and Future Wireless Networks" during international/global conference in front of subject matter experts and researchers in academia
George Washington University Guest Lecture
Using AI in the Cloud
Day of Shecurity April 2024 (Hybrid) Sessionize Event
Hack Space Con
Talk at the international Hack Space Con conference - I spoke about attacks to the AI systems used in the space domain
SouthWire Company
Southwire Company – Invited Guest Speaker, Cyber Speaker Series: Effective Use of AI, March 8, 2024
Women Impact Tech
Women Impact Tech Virtual Accelerate Conference Austin
Panelist for Disruptive Innovation: Preparing for the Next Wave of Technology Disruptors
ISC2 Dallas Fort Worth Chapter Meeting
How to Effectively Use AI to Solve Cybersecurity Problems
Pacific Hackers Conference Sessionize Event
Unveiling the Path to Career Success: Introducing Students to Fundamental Technology Concepts
South Africa based webinar, spoke to South African students about cybersecurity fundamentals, how to get cybersecurity careers, and how educators can introduce cybersecurity to students in rural settings with limited infrastructure
SecureWorld Midwest 2023
Introduction to Adversarial Machine Learning
SecureWorld Dallas
Talk: Introduction to Adversarial Machine Learning
With the increased reliance and use of machine learning across all industries, the attack surface in many organizations’ environments has increased. Although machine learning has many benefits, it also leads to new risks. It is crucial to understand the new security risks that machine learning brings in order to protect systems that rely on these technologies. In this presentation, attendees will learn about the different types of attacks that machine learning is vulnerable to. In addition, attendees will gain an understanding of the difference between artificial intelligence and machine learning, what adversarial machine learning is, how machine learning attacks occur, real-world case studies, and an introduction to current open-source tools offered by the industry to ensure that machine learning has been secured. By the end of the presentation, attendees will have an understanding of machine learning and its contributions to the cyber threat landscape as well as some measures they can take to increase the security of machine learning.
Bridges in Tech
Talk title: AI/ML for Cybersecurity
What you'll learn:
clear understanding of how AI/ML works within the cybersecurity landscape
Insight into the use cases of AI/ML in cybersecurity
Awareness of the security concerns associated with AI/ML in cybersecurity
Best practices to safeguard machine learning
Tips to kick-start your own AI/ML projects in cybersecurity
An overview of useful resources to deepen your knowledge
Wonder Women Tech
Panelist for Innovation & Reflection Career Pathways Panel
Spoke on inspiring the younger generation to pursue STEM careers, leadership in STEM
Applied Systems Inc
Invited speaker for Applied Systems Inc Corporate Training
Topic: Using AI/ML in Cybersecurity
Anmol Agarwal
Senior AI Security Researcher/Speaker/Consultant
Dallas, Texas, United States
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