datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
xai-attack-detection-cifar10
XAI Attack Detection — CIFAR-10 PGD
This private research dataset contains balanced, paired clean and adversarial images for
studying whether an attack can be detected from a classifier explanation map.
Dataset construction
The source is the CIFAR-10 test split. A fine-tuned OpenCLIP ViT-B/16 classifies each
clean image. Clean-correct examples are attacked with untargeted L-infinity PGD using
epsilon 8/255, step size 2/255, 10 steps, and deterministic random… See the full description on the dataset page: https://huggingface.co/datasets/nimaeb/xai-attack-detection-cifar10.prompt-injection-attack-detection-multilingual
Prompt Injection Attack Detection Multilingual Dataset
📌 Overview
This dataset is a merged and cleaned combination of two publicly available datasets for prompt injection detection:
PromptInjectionDataset/Injection-Attack-Detection-Dataset
rikka-snow/prompt-injection-multilingual
The goal of this merged dataset is to provide a larger and more diverse benchmark for binary classification of prompt injection attacks.
🎯 Task
Binary classification:
0 →… See the full description on the dataset page: https://huggingface.co/datasets/Octavio-Santana/prompt-injection-attack-detection-multilingual.xai-attack-detection-imagenette
XAI Attack Detection: Imagenette targeted BIM/PGD on ViT-B/16
Private research dataset of paired clean and targeted adversarial Imagenette images. It is
built to study how adversarial attacks change a Vision Transformer's explanation maps and to
support later work on attack detection. Each row is one source image with its clean and its
attacked version.
Summary
Pairs
12,420 (train 8,690 · validation 1,860 · test 1,870)
Source images
Imagenette v2… See the full description on the dataset page: https://huggingface.co/datasets/nimaeb/xai-attack-detection-imagenette.