Malware Detection/Evasion Competition
April 29, 2023Applying what we have learned throughout the semester
Written by Sidharth Baveja
Master of Computer Science Student at Texas A&M
Send me an email if you would like to get in touch: sidharthbav at gmail dot com
DeepSign: Deep Learning For Automatic Malware Signature Generation And Classification
April 27, 2023Discussion 12.2
Automatic Yara Rule Generation Using Biclustering
April 22, 2023Discussion 12.1
Passphrase and keystroke dynamics authentication: Usable security
April 19, 2023Discussion 11.2
Online Binary Models are Promising for Distinguishing Temporally Consistent Computer Usage Profiles
April 17, 2023Discussion 11.1
Lost at C: A User Study on the Security Implications of Large Language Model Code Assistants
April 12, 2023Discussion 10.2
Examining Zero-Shot Vulnerability Repair with Large Language Models
April 11, 2023Discussion 10.1
TrojanPuzzle: Covertly Poisoning Code-Suggestion Models
April 03, 2023Discussion 9.2
Pop Quiz! Can a Large Language Model Help With Reverse Engineering?
April 01, 2023Discussion 9.1
Adversarial Machine Learning in Image Classification: A Survey Toward the Defender’s Perspective
March 30, 2023Discussion 8.2
EvadeDroid: A Practical Evasion Attack on Machine Learning for Black-box Android Malware Detection
March 27, 2023Discussion 8.1
Mal-LSGAN: An Effective Adversarial Malware Example Generation Model
March 16, 2023Discussion 7.2
Functionality-Preserving Black-Box Optimization of Adversarial Windows Malware
March 13, 2023Discussion 7.1
No Need to Teach New Tricks to Old Malware: Winning an Evasion Challenge with XOR-based Adversarial Samples
March 06, 2023Discussion 6.2
Shallow Security: on the Creation of Adversarial Variants to Evade Machine Learning-Based Malware Detectors
March 04, 2023Discussion 6.1
Transcending TRANSCEND: Revisiting Malware Classification in the Presence of Concept Drift
February 26, 2023Discussion 5.2
Transcend: Detecting Concept Drift in Malware Classification Models
February 23, 2023Discussion 5.1
DroidEvolver: Self-Evolving Android Malware Detection System
February 21, 2023Discussion 4.2
Fast & Furious: On the modelling of malware detection as an evolving data stream
February 16, 2023Discussion 4.1
Dos and Don’ts of Machine Learning in Computer Security - Part 2
February 12, 2023Discussion 3.2
Dos and Don’ts of Machine Learning in Computer Security - Part 1
February 09, 2023Discussion 3.1
Machine Learning (In) Security: A Stream of Problems - Part 2
February 05, 2023Summary of Seminar 2.2
Machine Learning (In) Security: A Stream of Problems - Part 1
February 04, 2023Summary of Seminar 2.1
Malware Detection on Highly Imbalanced Data through Sequence Modeling
February 01, 2023Summary of Presentation and Discussion of 1.2 Seminar
Machine Learning for Malware Detection
January 31, 2023Summary of Presentation and Discussion 1.1 Seminar
Hello World, starting a blog ML-to-CS
January 30, 2023After speaking with Professor Marcus Botacin, I decided to create this site so share my learnings from the seminars in CSCE 689: Machine…