Similarity-based Gray-box Adversarial Attack Against Deep Face Recognition

Last update: Jul 18, 2022

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Deep Learning SGADV

Overview

Similarity-based Gray-box Adversarial Attack Against Deep Face Recognition

Introduction

Run attack: SGADV.py

Objective function: foolbox/attacks/gradient_descent_base.py

New developed tools: foolbox/utils.py

Citation

If using this project in your research, please cite our paper.

Under review

Note

The code in the folder foolbox is derived from the project foolbox.

Images in the folder data are only examples from LFW and CelebA dataset.

Owner

GitHub Repository

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Similarity-based Gray-box Adversarial Attack Against Deep Face Recognition

Related tags

Overview

Similarity-based Gray-box Adversarial Attack Against Deep Face Recognition

Introduction

Citation

Note

Owner

Pip-package for trajectory benchmarking from "Be your own Benchmark: No-Reference Trajectory Metric on Registered Point Clouds", ECMR'21

Episodic Transformer (E.T.) is a novel attention-based architecture for vision-and-language navigation. E.T. is based on a multimodal transformer that encodes language inputs and the full episode history of visual observations and actions.

Code for the paper "Zero-shot Natural Language Video Localization" (ICCV2021, Oral).

End-To-End Memory Network using Tensorflow

Continual reinforcement learning baselines: experiment specifications, implementation of existing methods, and common metrics. Easily extensible to new methods.

DenseNet Implementation in Keras with ImageNet Pretrained Models

Automatic voice-synthetised summaries of latest research papers on arXiv

Jiminy Cricket Environment (NeurIPS 2021)

VoxHRNet - Whole Brain Segmentation with Full Volume Neural Network

Code implementing "Improving Deep Learning Interpretability by Saliency Guided Training"

Group Activity Recognition with Clustered Spatial Temporal Transformer

Implementation of the paper: "SinGAN: Learning a Generative Model from a Single Natural Image"

Koç University deep learning framework.

High performance distributed framework for training deep learning recommendation models based on PyTorch.

Source Code for our paper: Understand me, if you refer to Aspect Knowledge: Knowledge-aware Gated Recurrent Memory Network

Official implementation for "QS-Attn: Query-Selected Attention for Contrastive Learning in I2I Translation" (CVPR 2022)

A PyTorch implementation of "Pathfinder Discovery Networks for Neural Message Passing"

Analyses of the individual electric field magnitudes with Roast.

piSTAR Lab is a modular platform built to make AI experimentation accessible and fun. (pistar.ai)

Contrastive learning of Class-agnostic Activation Map for Weakly Supervised Object Localization and Semantic Segmentation (CVPR 2022)