{"id":2480,"date":"2024-10-27T10:33:24","date_gmt":"2024-10-27T05:03:24","guid":{"rendered":"https:\/\/iciss.isrdc.in\/?page_id=2480"},"modified":"2024-12-07T01:28:56","modified_gmt":"2024-12-06T19:58:56","slug":"tutorial-1-deep-learning-for-cybersecurity","status":"publish","type":"page","link":"https:\/\/iciss.isrdc.in\/2024\/?page_id=2480","title":{"rendered":"Tutorial 1: Deep Learning for Cybersecurity"},"content":{"rendered":"\n
by Rakesh M. Verma
Professor of Computer Science & Director of ReDAS Lab
University of Houston
https:\/\/www2.cs.uh.edu\/~rmverma\/ <\/a><\/td>		and Dainis Boumber
Senior Scientist, NLP Research
Aon IPS
https:\/\/dainis-boumber.github.io\/<\/a><\/td><\/tr><\/tbody><\/table><\/figure>\n\n\n\n

Date: 16 December 2024; Time: 9:30 AM; Venue: LNMIIT, CMLBDA Lab<\/a>, RIEP building<\/p>\n\n\n\n

\n\n\n\n

Prerequisites<\/strong>

<\/strong>Mathematical maturity; Basics of Security including security goals, mechanisms, threat analysis and attacks such as malware, intrusion and phishing; Basics of Machine Learning including linear regression, supervised learning including basic loss functions especially categorical cross entropy, classification methods especially multi-layer perceptron model, and unsupervised learning especially clustering; Familiarity with basic text processing, natural language processing and understanding concepts; python programming.

Outline<\/strong>

Module 1: Introduction to Deep Leaning (2 hours 30 minutes lecture, 45 minutes of exercises)
<\/strong>\u2013 Feedforward Networks (FFN)
\u2013 Convolutional Neural Networks (CNN)
\u2013 Long Short-term Memory (LSTM) model
\u2013 Attention, Transformers, LLMs
\u2013 Autoencoders
\u2013 Generative Models
\u2013 Parameter-efficient machine learning
\u2013 Adversarial Machine Learning including attacks and defenses
\u2013 Examples and exercises will include: Python notebooks for FFN, CNN, Transformers, BERT, and an open source LLM

Module 2: Applications to cybersecurity challenges (2 hours lecture, 40 minutes of exercises)
<\/strong>\u2013 Deceptive attacks including social engineering attacks, business email compromise, fake news, and romance\/job scams
\u2013 Intrusion detection
\u2013 Malware detection
\u2013 Adversarial robustness of deep learning models for cybersecurity
\u2013 Techniques for explainable ML
\u2013 Key takeaways and directions for future research
\u2013 Examples and exercise will include deep learning models for deceptive attacks and adversarial robustness, explainability techniques<\/p>\n\n\n\n

References<\/strong><\/p>\n\n\n\n

  1. Deep Learning book by Ian Goodfellow et al. Available online<\/a><\/li>
  2. Cybersecurity Analytics by Rakesh Verma and David Marchette, CRC Press, 2019. (recommended for prerequisite knowledge)<\/li>
  3. AI for Cyber security by Alessandro Parisi, Packt Press, 2019.<\/li>
  4. AI\/ML in Cybersecurity, Malini Rao, 2023.<\/li><\/ol>\n","protected":false},"excerpt":{"rendered":"

    by Rakesh M. VermaProfessor of Computer Science & Director of ReDAS LabUniversity of Houstonhttps:\/\/www2.cs.uh.edu\/~rmverma\/ and Dainis BoumberSenior Scientist, NLP ResearchAon IPShttps:\/\/dainis-boumber.github.io\/ Date: 16 December 2024; Time: 9:30 AM; Venue: LNMIIT, CMLBDA Lab, RIEP building PrerequisitesMathematical maturity; Basics of Security including security goals, mechanisms, threat analysis and attacks such as malware, intrusion and phishing; Basics of […]<\/p>\n","protected":false},"author":4,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":[],"_links":{"self":[{"href":"https:\/\/iciss.isrdc.in\/2024\/index.php?rest_route=\/wp\/v2\/pages\/2480"}],"collection":[{"href":"https:\/\/iciss.isrdc.in\/2024\/index.php?rest_route=\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/iciss.isrdc.in\/2024\/index.php?rest_route=\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/iciss.isrdc.in\/2024\/index.php?rest_route=\/wp\/v2\/users\/4"}],"replies":[{"embeddable":true,"href":"https:\/\/iciss.isrdc.in\/2024\/index.php?rest_route=%2Fwp%2Fv2%2Fcomments&post=2480"}],"version-history":[{"count":13,"href":"https:\/\/iciss.isrdc.in\/2024\/index.php?rest_route=\/wp\/v2\/pages\/2480\/revisions"}],"predecessor-version":[{"id":2727,"href":"https:\/\/iciss.isrdc.in\/2024\/index.php?rest_route=\/wp\/v2\/pages\/2480\/revisions\/2727"}],"wp:attachment":[{"href":"https:\/\/iciss.isrdc.in\/2024\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=2480"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}