aiforsec Goto Github PK

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

chatgpt

Reverse engineered ChatGPT API

cocoapi

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

ctdd-2021-os-syslogs

cyner

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

demomarch2022

dsci633-project-dwight

Dwight's dsci project

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

insiderthreat

intrusion-detection-system

Context-adaptive Intrusion Detection System using Reinforcement Learning

krystal

ladder

machine-learning-with-python

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

malkg

malont

MALOnt - an ontology for Malware Threat Intelligence.

network_intrusion_detection_system_with-rl

Here we try to detect the attack at it's first attempt using machine learning algorithms(Reinforcement l)

nsf-career-template

NSF CAREER proposal template: http://pgbovine.net/NSF-CAREER-proposal.htm

owad

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

rit-dsci-633-fds

DSCI-633: Foundations of Data Science & Analytics

simulated-data