aiforsec

CyNER

Cyber Security concepts extracted from unstructured threat intelligence reports using Named Entity Recognition

LADDER

InsiderThreat

MALOnt

MALOnt - an ontology for Malware Threat Intelligence.

MalKG

RIT-DSCI-633-FDS

DSCI-633: Foundations of Data Science & Analytics

Machine-Learning-with-Python

Practice and tutorial-style notebooks covering wide variety of machine learning techniques

active-learning

Continuous Learning for Android Malware Detection (USENIX Security 2023)

BARS

BARS: Local Robustness Certification for Deep Learning based Traffic Analysis Systems (NDSS'23)

BlackHatAsia2023

CADE

Code for our USENIX Security 2021 paper -- CADE: Detecting and Explaining Concept Drift Samples for Security Applications

cocoapi

COCO API - Dataset @ http://cocodataset.org/

ctdd-2021-os-syslogs

demoMarch2022

DSCI633-project-Dwight

Dwight's dsci project

ChatGPT

Reverse engineered ChatGPT API

EVS_Evasion

Evasion Attacks and Defenses on Smart Home Physical Event Verification

ExplainabilityRADARfeatures

ExplainabilityUAV

Explaining-Image-Data

Explainability of Adversarial Objects

EXTRACTOR

fds-datasets

Fear-speech-analysis

Can fear be used for polarisation and spreading negativity? Our paper accepted in The Web conference 2021 tries to explore this question in light of public Whatsapp groups.

GAN_DRL_IDS

Intrusion Detection System using Deep Reinforcement Learning and Generative Adversarial Networks

Krystal

OWAD

Anomaly Detection in the Open World: Normality Shift Detection, Explanation, and Adaptation (NDSS'23).

Simulated-Data

Sneaky-Spikes

Corresponding code for the paper: "Sneaky Spikes: Uncovering Stealthy Backdoor Attacks in Spiking Neural Networks with Neuromorphic Data", at Network and Distributed System Security (NDSS).

test-fds

Transpose-Attack-paper-NDSS24-

Code base for the NDSS24 paper Transpose Attack: Stealing Datasets with Bidirectional Training