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1
Introduction
2
Who am I
3
Agenda
4
Google Whistleblower
5
GitHub CoPilot
6
Security
7
Unsupervised Learning
8
Reinforcements
9
Two Rules of Thumb
10
Machine Learning Models
11
Feature Engineering
12
Pseudocode
13
Natural Language Translation
14
Neural Machine Translation
15
Sequence to Sequence Models
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Encoder Decoder Architecture
17
Recurrent Neural Networks
18
Encoder
19
Attention
20
Bert
21
Language Models
22
Preprocessing
23
Data Acquisition
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Summary
25
Questions
Description:
Save Big on Coursera Plus. 7,000+ courses at $160 off. Limited Time Only! Grab it Explore the intersection of machine learning and cybersecurity in this 54-minute conference talk from NDC Conferences. Delve into the world of ML-assisted decompilation and deobfuscation, examining how large language models like BERT, RoBERTa, and GPT-3 are revolutionizing code processing. Discover the potential security risks and benefits of AI-powered code generation tools such as GitHub's Copilot. Learn about neural machine translation techniques applied to reverse engineering, including decompilation and deobfuscation for malware analysis. Gain insights into the transformer architecture, encoder-decoder models, and fine-tuning processes. By the end, acquire a comprehensive understanding of natural language processing techniques, large language model training, and their applications in code generation, semantic code search, decompilation, and deobfuscation.

Lost and Found in Translation - An Intro to ML Assisted Decompilation and Deobfuscation

NDC Conferences
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