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Adversarial attacks

Adversarial attacks are techniques that craft intentionally perturbed inputs to mislead machine learning models into producing incorrect outputs. They are central to research in AI robustness, security, and trustworthiness.

Here are 9 public repositories matching this topic...

xirui-li / DrAttack

Official implementation of paper: DrAttack: Prompt Decomposition and Reconstruction Makes Powerful LLM Jailbreakers

attack jailbreak safety adversarial-machine-learning adversarial-attacks llm llms llm-attack

Updated Aug 25, 2024
JavaScript

jaxball / advis.js

[Tensorflow.js] AdVis: Exploring real-time Adversarial Attacks in the browser with Fast Gradient Sign Method.

visualization machine-learning computer-vision neural-networks adversarial-attacks

Updated Jan 25, 2023
JavaScript

Montimage / maip

A platform that provides users with easy access to AI services developed by Montimage and usage of explainable AI techniques (e.g., LIME, SHAP).

deep-learning interactive-visualizations lime anomaly-detection adversarial-attacks explainable-ai interpretable-machine-learning shap

Updated Feb 17, 2026
JavaScript

kishorekumarkorchipati / AI-Compass

Privacy-first AI Trust & Safety extension that protects AI conversations before they're sent.

ai-safety adversarial-attacks red-teaming ai-ethics adversarial-training responsible-ai ai-governance prompt-injection prompt-security ai-research-and-development

Updated Jul 8, 2026
JavaScript

adversarial-backdoor-attack-defence

zlaabsi / adversarial-backdoor-attack-defence

Adversarial and Backdoor Attack + Defence

machine-learning deep-learning adversarial-machine-learning adversarial-attacks backdoor-attacks

Updated Jun 6, 2023
JavaScript

PDCL-Attack / PDCL-Attack.github.io

Project Page (PDCL-Attack, ECCV 2024)

eccv adversarial-attacks transferable-attacks eccv2024

Updated Aug 13, 2024
JavaScript

FACL-Attack / FACL-Attack.github.io

Project Page (FACL-Attack, AAAI 2024)

aaai adversarial-machine-learning adversarial-examples adversarial-attacks transferable-attacks aaai2024

Updated Jul 31, 2024
JavaScript

MohdAltamish / NeuroScan

An AI-powered diagnostic tool that classifies brain MRI scans and automatically heals signal interference and noise.

machine-learning computer-vision deep-learning pytorch adversarial-attacks adversarial-defense brain-tumor-detection healthcare-ai mri-scans

Updated Apr 2, 2026
JavaScript

ydavidcm9-wq / vigil

Deliver comprehensive AI-driven security operations with vulnerability scanning, incident response, compliance tracking, and autonomous agents in one platform.

nodejs go status osint statuspage clean-architecture mvvm-architecture sms-notifications slack-notifications webhook-events mvvm-android adversarial-attacks vigil androidviewmodel clean-architecture-coroutines hilt-android hilt-dependency-injection llmops

Updated Jul 24, 2026
JavaScript

Followers: 61 followers
Website: github.com/topics/adversarial-attacks
Wikipedia: Wikipedia