DiscoverDataScience.org

  • Online
    • Online Masters in Business Analytics
    • Online Masters in Data Analytics
    • Online Masters in Data Science
    • Online Masters in Health Informatics
    • Online Masters in Information Systems
    • Top Affordable Online Master’s in Data Science
  • Programs
        • Bachelors in Data Science
        • Minor in Data Science
        • Masters in Data Science
        • MBA in Data Science / Data Analytics
        • Data Science PhD Programs
        • Additional Programs
        • Data Science Bootcamps
        • Data Science Certificate Programs
        • Associates Degree in Data Science
  • Related Programs
        • Masters in Business Analytics Programs
        • Masters in Data Analytics Programs
        • Masters in Health Informatics Programs
        • Masters in Information Systems Programs
        • PhD in Health Informatics
        • PhD in Information Systems
        • Other Degrees and Certificate Programs
        • Accounting Analytics
        • Actuarial Science
        • Cyber Security
        • Data Analytics and Visualization
        • Geographic Information Systems (GIS)
        • Sports Analytics
  • Schools By State
    • California
    • Florida
    • Georgia
    • Maryland
    • New Jersey
    • New York
    • Pennsylvania
    • Texas
    • Virginia
    • All Schools by State
  • Careers & Salary
        • Career Guides – How to Become:
        • Business Analyst
        • Business Intelligence Analyst
        • Data Analyst
        • Data Scientist
        • Machine Learning Engineer
        • Statistician
        • All Career Guides
        • Salary Guides
        • Careers in Data Science
        • Business Analyst
        • Data Analyst
        • Data Scientist
  • Resources
        • Articles
        • Data Science in the Health Care Industry
        • Data Storytelling
        • How to Use Deepfake
        • Journey through Data Science with the Data Professor
        • Top Reasons to Become a Data Scientist
        • What is Python and Why Important
        • + All Articles
        • FAQ
        • Data Analyst vs Data Scientist
        • Data Science vs Computer Science
        • Do You Need a PhD to Become a Data Scientist?
        • How to Get a Job as a Data Scientist?
        • Is Data Science Hard?
        • Is a PhD in Data Science Worth It?
        • What Can I Do With a Masters in Statistics?
        • What is Business Analytics?
        • What is Data Analytics?
        • +All FAQs
        • Social Good
        • Clean Water
        • Cyberbullying
        • Mental Health
        • Nonprofits
        • +All Social Good
        • Data Science in Industry
        • Artificial Intelligence AI
        • Biotechnology
        • Clean Energy
        • Health Care
        • Logistics
        • Marketing
        • Sports
        • + All Industries
        • Data Science Training Toolkits
        • Java
        • SAS
        • SQL
        • Tableau
        • +All Training
        • More Resources & Helpfull Guides
        • Data Science and Sustainability
        • Expert Interviews
        • Exploring a Career with Numbers
        • Income Sharing Agreements
        • Making Room for Diverse Populations in STEM
        • Scholarship Guide
        • +More Resources
        • Top Picks
        • Best Master’s Data Science Programs for 2023
        • Best Bachelor’s Data Science Programs for 2023
        • The Most Affordable Data Science Bachelor’s Programs for 2023
        • The Most Affordable Data Science Master’s Programs for 2023
FIND A PROGRAM
1
2
3
4
Sponsored Content

What Is Adversarial Machine Learning?

Reviewed by Jack Levinson

Anyone tapped into the world of big data is paying attention to recent developments in machine learning (ML), a burgeoning field of the tech center that is poised to shape our future.

Because machine learning is so powerful yet so new, it is uniquely vulnerable to outside attacks, which could place companies and consumers alike at tremendous risk.

This means data scientists must come up with new ways to prevent cyberattacks while following the developments of this emerging technology. Given the rapid evolution of machine learning and neural networks so far, this requires considerable background knowledge and training.

Featured Programs:
Sponsored School(s)
George Mason University Logo
George Mason University
Featured Program: The online MS in Data Analytics Engineering, offered by the esteemed Volgenau School of Engineering, is a multidisciplinary program that helps you develop an innovative mindset to solving business challenges with Big Data.
Request Info
American University Logo
American University
Featured Program: American University’s online MS in Sports Analytics and Management will equip you to become a strategic sports manager with the skills needed to measure the impact that emerging technologies are having on sports organizations and society.
Request Info
Johns Hopkins University Logo
Johns Hopkins University
Featured Program: Prepare to use analytics to tackle policy challenges in a range of industries, including education, health care, security, the environment, and criminal justice. Gain expertise in analytical methods to develop as a leader in data-driven processes for creating policies and making decisions.
Request Info
Grand Canyon University Logo
Grand Canyon University
Featured Program: By earning an online computer programming degree, information technology degree or another technology degree from GCU, you will develop the skills for critical thinking, as well as hands-on, applicable and project-based experience.
Request Info
UC Berkeley Logo
UC Berkeley
Featured Program: Leverage the latest tools and analytical methods to work with data at scale, derive insights from complex and unstructured data, and solve real-world problems.
Request Info
Capella University Logo
Capella University
Featured Program: Channel your analytical problem-solving talents into a degree in information technology. Our flexible, online programs range from individual courses to doctoral-level degrees, providing skills that are essential to every IT professional.
Request Info

So what is adversarial machine learning? It’s a new area of study that is directly focused on areas of vulnerability in machine learning algorithms and how businesses can best protect themselves from cyberattacks. This is both an extension of the existing field of cybersecurity and a new undertaking altogether, as the tools needed to understand this pioneering technology are vastly different from what data scientists have previously used.

adversarial machine learning

 

Adversarial attacks on machine learning: examples from the real world

When we think of cybersecurity, we tend to focus on issues related to data breaches and compromised information. However, in the case of adversarial attacks on neural networks, things get even more complicated.

Adversarial attacks on neural networks and machine learning can do more than unlock privileged data; they can dramatically impede or alter a program’s function.

For example, imagine a program that is designed to identify objects within an image. An adversarial attack could confuse the program’s algorithm, leading it to misidentify objects or to fail to identify them altogether. Other adversarial machine learning examples include:

    • Poisoning attacks, causing the algorithm to underperform
    • Evasion attacks, manipulating data as it is being deployed (such as in the example above)
    • Model extraction, invading the algorithm to replicate it elsewhere

This illustrates that beyond compromising privacy, adversarial attacks pose an even more profound threat to our current systems. This highlights the need for strong protections against adversarial attacks and strategic thinking to anticipate risks before malicious actions occur.

 

artificial intelligence

How data scientists are fighting adversarial attacks

Data scientists are playing a hugely important role in fighting off adversarial attacks on neural networks and will be instrumental in developing our defense systems moving forward. Indeed, adversarial machine learning experts are likely to become more sought-after by businesses of all types, with compensation to match.

FIND SCHOOLS
Sponsored Content

Traditional cybersecurity experts are already understood as a continuous necessity at any large company, and therefore know that their job description involves advancing their knowledge of security systems and their weaknesses. Data scientists focused on adversarial machine learning are likely to grow into a similar role as more and more companies involve machine learning in their data mining operations.

Those who wish to pursue work in this lucrative branch of data science will find many great opportunities ahead.

There are many educational opportunities that can help you build up an expertise in machine learning and adversarial attacks, making you a specialist who will be of value to a huge variety of companies.

Salary and job growth data

One of the most enticing reasons to specialize in adversarial machine learning is the exceptional job market. According to the Bureau of Labor Statistics, computer and information research scientists currently earn a very impressive median annual wage of $131,490. This median income only rises within particular industries: those in the computer systems design and related services sector earn a median annual salary of $161,870, while professionals in the software publishing field earn a median annual salary of $152,940. (Note: The BLS’ data does not differentiate information research scientists focused on machine learning from those other types of research. However, it is reasonable to expect that their salaries would be in relative alignment.)

Job growth data for computer and information research scientists is just as impressive. According to the Bureau of Labor Statistics, information research scientists face a projected job growth rate of 21% by 2031, a number that greatly exceeds the average growth rate of most other professions. This amounts to an estimated 3,300 new job openings for information research scientists each year. While some professions are currently struggling with job cuts and wage decreases due to automation or declining need for their services, positions in the data science field are only continuing to grow.

quantum computer cpu

Taking the next steps to become an adversarial machine learning expert

If you are interested in establishing an impressive career at the cutting edge of data technology, becoming an adversarial machine learning expert may be the perfect path for you. If you don’t yet hold a master’s degree in data science or related field, your first step is to enroll in a degree program – optimally one that offers a data science focus area in machine learning (sometimes abbreviated as ML). This will fast-track you for the specialization you want.

For more information about the best Master’s in Data Science programs, take a look at our guide here.

If you are already a working data scientist who already holds a master’s degree but are interested in building out your expertise into the world of machine learning, bootcamps and certification programs can be an excellent way to expand your knowledge and skills.

To learn more about certification programs, take a look at our guide here.

To learn more about data science bootcamps, visit our guide here.

Additional resources:

Homepage

Resources

Is Data Science Hard?

Adversarial Machine Learning FAQs

In the simplest terms, what is adversarial machine learning?

In short, adversarial machine learning is a new form of cyberattack. It involves any algorithm designed to interfere with an existing machine learning function. Experts who study adversarial machine learning focus on how cyberattackers might cause disruptions to these sophisticated systems so that they are protected against them.

Are adversarial machine learning experts the same as cybersecurity experts?

No, but there is overlap between their duties. In order to be an adversarial machine learning expert, one must have intensive knowledge of machine learning (ML), a highly skilled branch of data science that requires different expertise than traditional cybersecurity.

If machine learning is so new, will there really be a need for so many experts in the future?

Yes. Machine learning is a rapidly growing area of the tech sector that is certain to take on a larger and larger presence in our existing systems, meaning more experts are already needed to protect them and ensure that they are performing their intended functions.

FIND SCHOOLS
Sponsored Content
FIND A PROGRAM
1
2
3
4
Sponsored Content
  • Career Guides
  • Artificial Intelligence Engineer
  • Business Analyst
  • Business Intelligence Analyst
  • Data Analyst
  • Data Analytics Manager
  • Data Architect
  • Data Engineer
  • Data Mining Specialist
  • Database Administrator
  • Database Developer
  • Information Security Analyst
  • Machine Learning Engineer
  • Marketing Analyst
  • Software Developer
  • Statistician
  • Data Science Toolkit
  • Hadoop
  • Hive
  • Java
  • Python
  • R
  • SAS
  • SQL
  • Tableau
  • Data Science Articles
  • 10 Data Science Types
  • AI and Data Science
  • The Increasing Importance of Health Informatics
  • Python Growth Rate Predictions
  • Data-as-a-Service (DaaS)
  • Data Science Trends 2023
  • Cybersecurity Analyst vs. Engineer
  • Data Science in Education
  • Do You Need a PhD to Become a Data Scientist?
  • Best Big Data Conferences 2023
  • Data Science Focus Areas
  • Is a PhD in Data Science Worth It?
  • Is Data Science Hard?
  • Marketing Analytics Degree Online
  • Transferable Data Science Skills
  • Transitioning to Data Science
  • What Can I Do With a Masters in Statistics?
  • What Companies Hire Data Scientists?
  • What Is Cyber Science?
  • How to Read Crypto Charts
  • Breaking Down the Top Data Science Algorithms + Methods
  • Journey through Data Science with the Data Professor
  • How to Build a Data Science Portfolio & Resume
  • The Significance of Data Community Building
  • Developer Impostor Syndrome
  • How to Improve Programming Skills
  • Data Science Degree Vs. Training
  • Why Data Destruction is Important for your Business
  • Data Storytelling: Mastering Data Science’s Core Skillset
  • What is a Marketing Funnel and How to Create One
  • Building a Data Science Brand
  • Interviewing for Data Careers
  • Top 5 Reasons to Become a Data Scientist
  • What is Data Analytics?
  • What is Business Analytics?
  • What is Quantum Machine Learning?
  • What is Predictive Analytics?
  • Data Science vs. Statistics
  • Data Mining vs. Machine Learning
  • Business Analyst vs. Data Scientist
  • Data Scientist vs. Software Engineer
  • Data Science vs. Computer Science
  • Data Engineer vs. Data Scientist
  • Data Analyst vs. Data Scientist
  • How to Use Deepfake Technology
  • Java vs. JavaScript
  • What Is Python Used For & Why Is It Important to Learn?
  • Artificial Intelligence as a Trending Field
  • Data Science in Health Care
  • Guide to a Career in Criminal Intelligence
  • Guide to a Career in Health Informatics
  • Guide to Geographic Information System (GIS) Careers
  • Data Science Ph.D.
  • Expert Interview: Dr. Sudipta Dasmohapatra
  • Expert Interview: Sandra Altman
  • Expert Interview: Tony Johnson
  • Expert Interview: Bob Muenchen
  • Industries Using Data Science
  • Artificial Intelligence
  • Biotechnology
  • Finance
  • Health Care
  • Insurance
  • Law Enforcement
  • Logistics
  • Marketing and Advertising
  • Sports
  • Clean Energy
  • Online Guides
  • Data Science
  • Data Analytics
  • Business Analytics
  • Information Systems
  • Health Informatics
  • Programs
  • Online
  • Resources
  • Related Programs
Wiley University Services maintains this website. We are an advertising-supported publisher and are compensated in exchange for placement of sponsored education offerings or by you clicking on certain links posted on our site. This compensation may impact how, where and in what order products appear within listing categories. We aim to keep this site current and to correct errors brought to our attention. Education does not guarantee outcomes including but not limited to employment or future earnings potential. View Advertiser Disclosure
wiley university servieces logo

© Copyright 2023 | https://www.discoverdatascience.org | All Rights Reserved

  • Home
  • About Us
  • Privacy Policy
  • Terms of Use