ml-cyberdefense-papers

A repository containing the summary of different papers discussed as part of the course CSE-689 ML-Based CyberDefenses at Texas A&M University. Each class consisted of a student presenting a paper suggested by the professor, and later a session of discussion regarding the content of the paper. The seminar would hence mostly contain 2 sections, one covering the student's presentation/content of the paper and the next focusing on the discussion in class

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Name		Name	Last commit message	Last commit date
Latest commit History 5 Commits
Adversarial Machine Learning in Image Classification_ A Survey Toward The Defender_s Perspective.pdf		Adversarial Machine Learning in Image Classification_ A Survey Toward The Defender_s Perspective.pdf
Automatic Yara Rule Generation Using Biclustering.pdf		Automatic Yara Rule Generation Using Biclustering.pdf
Dos and Don’ts of Machine Learning in Computer Security - Part1 - Summary - SidharthAnil.pdf		Dos and Don’ts of Machine Learning in Computer Security - Part1 - Summary - SidharthAnil.pdf
Dos and Don’ts of Machine Learning in Computer Security - Part2- Summary - SidharthAnil.pdf		Dos and Don’ts of Machine Learning in Computer Security - Part2- Summary - SidharthAnil.pdf
DroidEvolver_ Self-Evolving Android Malware Detection System - Summary - SidharthAnil.pdf		DroidEvolver_ Self-Evolving Android Malware Detection System - Summary - SidharthAnil.pdf
EvadeDroid_ A Practical Evasion Attack on Machine Learning for Black-Box Android Malware Detection .pdf		EvadeDroid_ A Practical Evasion Attack on Machine Learning for Black-Box Android Malware Detection .pdf
Examining Zero-Shot Vulnerability Repair with Large Language Models.pdf		Examining Zero-Shot Vulnerability Repair with Large Language Models.pdf
Fast & Furious_ Modelling Malware Detection as Evolving Data Streams - Summary - SidharthAnil.pdf		Fast & Furious_ Modelling Malware Detection as Evolving Data Streams - Summary - SidharthAnil.pdf
Functionality preserving Black Box - Optimization of Adv Windows Malware - Summary - Sidharth Anil.pdf		Functionality preserving Black Box - Optimization of Adv Windows Malware - Summary - Sidharth Anil.pdf
Lost at C_ A User Study on the Security Implications of Large Language Model Code Assistants.pdf		Lost at C_ A User Study on the Security Implications of Large Language Model Code Assistants.pdf
Machine Learning (In) Security_ A Stream of Problems (Part 1) - Summary - Sidharth Anil.pdf		Machine Learning (In) Security_ A Stream of Problems (Part 1) - Summary - Sidharth Anil.pdf
Machine Learning (In) Security_ A Stream of Problems (Part 2) - Summary - Sidharth Anil.pdf		Machine Learning (In) Security_ A Stream of Problems (Part 2) - Summary - Sidharth Anil.pdf
Mal-LSGAN An effective Adversarial Malware Example Generation Model - Summary - Sidharth Anil.pdf		Mal-LSGAN An effective Adversarial Malware Example Generation Model - Summary - Sidharth Anil.pdf
Malware Detection on Highly Imbalanced data through Sequence Modeling - SidharthAnil.pdf		Malware Detection on Highly Imbalanced data through Sequence Modeling - SidharthAnil.pdf
No Need to Teach New Tricks to Old Malware_ Winning an Evasion Challenge with XOR-based Adversarial .pdf		No Need to Teach New Tricks to Old Malware_ Winning an Evasion Challenge with XOR-based Adversarial .pdf
Online Binary Models are Promising for Distinguishing Temporally Consistent Computer Usage Profiles.pdf		Online Binary Models are Promising for Distinguishing Temporally Consistent Computer Usage Profiles.pdf
Passphrase and keystroke dynamics authentication_ Usable security.pdf		Passphrase and keystroke dynamics authentication_ Usable security.pdf
Pop Quiz! Can a Large Language Model Help With Reverse Engineering_.pdf		Pop Quiz! Can a Large Language Model Help With Reverse Engineering_.pdf
README.md		README.md
Shallow Security - Summary - SidharthAnil.pdf		Shallow Security - Summary - SidharthAnil.pdf
Transcend_ Detecting Concept Drift in Malware Classiﬁcation Models - Part1 - Summary - SidharthAnil.pdf		Transcend_ Detecting Concept Drift in Malware Classiﬁcation Models - Part1 - Summary - SidharthAnil.pdf
Transcending TRANSCEND_ Revisiting Malware Classification in the Presence of Concept Drift - Summary.pdf		Transcending TRANSCEND_ Revisiting Malware Classification in the Presence of Concept Drift - Summary.pdf
TrojanPuzzle_ Covertly Poisoning Code-Suggestion Models.pdf		TrojanPuzzle_ Covertly Poisoning Code-Suggestion Models.pdf

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