118 skills found · Page 1 of 4
jind11 / TextFoolerA Model for Natural Language Attack on Text Classification and Inference
tsinghua-fib-lab / ANeurIPS2024 SPV MIA[NeurIPS'24] "Membership Inference Attacks against Fine-tuned Large Language Models via Self-prompt Calibration"
csong27 / Membership InferenceCode for Membership Inference Attack against Machine Learning Models (in Oakland 2017)
USTCPCS / CVPR2018 AttentionContext Encoding for Semantic Segmentation MegaDepth: Learning Single-View Depth Prediction from Internet Photos LiteFlowNet: A Lightweight Convolutional Neural Network for Optical Flow Estimation PWC-Net: CNNs for Optical Flow Using Pyramid, Warping, and Cost Volume On the Robustness of Semantic Segmentation Models to Adversarial Attacks SPLATNet: Sparse Lattice Networks for Point Cloud Processing Left-Right Comparative Recurrent Model for Stereo Matching Enhancing the Spatial Resolution of Stereo Images using a Parallax Prior Unsupervised CCA Discovering Point Lights with Intensity Distance Fields CBMV: A Coalesced Bidirectional Matching Volume for Disparity Estimation Learning a Discriminative Feature Network for Semantic Segmentation Revisiting Dilated Convolution: A Simple Approach for Weakly- and Semi- Supervised Semantic Segmentation Unsupervised Deep Generative Adversarial Hashing Network Monocular Relative Depth Perception with Web Stereo Data Supervision Single Image Reflection Separation with Perceptual Losses Zoom and Learn: Generalizing Deep Stereo Matching to Novel Domains EPINET: A Fully-Convolutional Neural Network for Light Field Depth Estimation by Using Epipolar Geometry FoldingNet: Interpretable Unsupervised Learning on 3D Point Clouds Decorrelated Batch Normalization Unsupervised Learning of Depth and Egomotion from Monocular Video Using 3D Geometric Constraints PU-Net: Point Cloud Upsampling Network Real-Time Monocular Depth Estimation using Synthetic Data with Domain Adaptation via Image Style Transfer Tell Me Where To Look: Guided Attention Inference Network Residual Dense Network for Image Super-Resolution Reflection Removal for Large-Scale 3D Point Clouds PlaneNet: Piece-wise Planar Reconstruction from a Single RGB Image Fully Convolutional Adaptation Networks for Semantic Segmentation CRRN: Multi-Scale Guided Concurrent Reflection Removal Network DenseASPP: Densely Connected Networks for Semantic Segmentation SGAN: An Alternative Training of Generative Adversarial Networks Multi-Agent Diverse Generative Adversarial Networks Robust Depth Estimation from Auto Bracketed Images AdaDepth: Unsupervised Content Congruent Adaptation for Depth Estimation DeepMVS: Learning Multi-View Stereopsis GeoNet: Unsupervised Learning of Dense Depth, Optical Flow and Camera Pose GeoNet: Geometric Neural Network for Joint Depth and Surface Normal Estimation Single-Image Depth Estimation Based on Fourier Domain Analysis Single View Stereo Matching Pyramid Stereo Matching Network A Unifying Contrast Maximization Framework for Event Cameras, with Applications to Motion, Depth, and Optical Flow Estimation Image Correction via Deep Reciprocating HDR Transformation Occlusion Aware Unsupervised Learning of Optical Flow PAD-Net: Multi-Tasks Guided Prediciton-and-Distillation Network for Simultaneous Depth Estimation and Scene Parsing Surface Networks Structured Attention Guided Convolutional Neural Fields for Monocular Depth Estimation TextureGAN: Controlling Deep Image Synthesis with Texture Patches Aperture Supervision for Monocular Depth Estimation Two-Stream Convolutional Networks for Dynamic Texture Synthesis Unsupervised Learning of Single View Depth Estimation and Visual Odometry with Deep Feature Reconstruction Left/Right Asymmetric Layer Skippable Networks Learning to See in the Dark
spring-epfl / MiaA library for running membership inference attacks against ML models
PrivPkt / PrivPktPrivacy Preserving Collaborative Encrypted Network Traffic Classification (Differential Privacy, Federated Learning, Membership Inference Attack, Encrypted Traffic Classification)
Lab41 / CyphercatImplementation of membership inference and model inversion attacks, extracting training data information from an ML model. Benchmarking attacks and defenses.
FuChong-cyber / Label Inference AttacksCode & supplementary material of the paper Label Inference Attacks Against Federated Learning on Usenix Security 2022.
AhmedSalem2 / ML LeaksCode for the paper "ML-Leaks: Model and Data Independent Membership Inference Attacks and Defenses on Machine Learning Models"
cchoquette / Membership InferenceCode for the paper: Label-Only Membership Inference Attacks
shrebox / Privacy Attacks In Machine LearningMembership Inference, Attribute Inference and Model Inversion attacks implemented using PyTorch.
AdrienBenamira / Membership Inference AttackImplementation of the paper : "Membership Inference Attacks Against Machine Learning Models", Shokri et al.
DingfanChen / RelaxLossOfficial implementation of "RelaxLoss: Defending Membership Inference Attacks without Losing Utility" (ICLR 2022)
BielStela / Membership InferencePython package to create adversarial agents for membership inference attacks againts machine learning models
DingfanChen / GAN LeaksOfficial implementation of "GAN-Leaks: A Taxonomy of Membership Inference Attacks against Generative Models" (CCS 2020)
jinhaoduan / SecMI[ICML 2023] Are Diffusion Models Vulnerable to Membership Inference Attacks?
microsoft / Responsible AI Toolbox PrivacyA library for statistically estimating the privacy of ML pipelines from membership inference attacks
microsoft / PrivGANPrivGAN: Protecting GANs from membership inference attacks at low cost
yonsei-sslab / MIA🔒 Implementation of Shokri et al(2016) "Membership Inference Attacks against Machine Learning Models"
facebookresearch / PrivacyGuardPrivacyGuard platform for Privacy Attacks and Analysis. Perform privacy analyses of ML models using Inference Attacks and Extraction Attacks. PrivacyGuard library implements varied, SotA privacy attacks, along with tooling to analyze results. Please see the README and tutorials to get started!
