nivha / dataset_reconstruction

Related projects ⓘ

Alternatives and complementary repositories for dataset_reconstruction

• dedeswim / vits-robustness-torch
  Code for the paper "A Light Recipe to Train Robust Vision Transformers" [SaTML 2023]
  ☆52Updated last year
• justincui03 / dc_benchmark
  ☆81Updated last year
• YuxinWenRick / canary-in-a-coalmine
  ☆32Updated 11 months ago
• ethz-spylab / diffusion_denoised_smoothing
  Certified robustness "for free" using off-the-shelf diffusion models and classifiers
  ☆36Updated last year
• somepago / DCR
  Official Pytorch repo of CVPR'23 and NeurIPS'23 papers on understanding replication in diffusion models.
  ☆104Updated 11 months ago
• nv-tlabs / DPDM
  Differentially Private Diffusion Models
  ☆84Updated 10 months ago
• OPTML-Group / Unlearn-Sparse
  [NeurIPS23 (Spotlight)] "Model Sparsity Can Simplify Machine Unlearning" by Jinghan Jia*, Jiancheng Liu*, Parikshit Ram, Yuguang Yao, Gao…
  ☆63Updated 8 months ago
• snu-mllab / Efficient-Dataset-Condensation
  Official PyTorch implementation of "Dataset Condensation via Efficient Synthetic-Data Parameterization" (ICML'22)
  ☆105Updated last year
• somepago / dbViz
  The official PyTorch implementation - Can Neural Nets Learn the Same Model Twice? Investigating Reproducibility and Double Descent from t…
  ☆76Updated 2 years ago
• wzekai99 / DM-Improves-AT
  Code for the paper "Better Diffusion Models Further Improve Adversarial Training" (ICML 2023)
  ☆125Updated last year
• yolky / RFAD
  Code for the paper "Efficient Dataset Distillation using Random Feature Approximation"
  ☆36Updated last year
• meghdadk / SCRUB
  ☆38Updated 3 months ago
• GeorgeCazenavette / glad
  ☆105Updated last year
• Saehyung-Lee / DCC
  This repository is the official implementation of Dataset Condensation with Contrastive Signals (DCC), accepted at ICML 2022.
  ☆20Updated 2 years ago
• zju-vipa / Fast-Datafree
  [AAAI-2022] Up to 100x Faster Data-free Knowledge Distillation
  ☆67Updated 2 years ago
• AdityaGolatkar / SelectiveForgetting
  ☆53Updated 4 years ago
• OPTML-Group / Diffusion-MU-Attack
  The official implementation of ECCV'24 paper "To Generate or Not? Safety-Driven Unlearned Diffusion Models Are Still Easy To Generate Uns…
  ☆58Updated 2 weeks ago
• tml-epfl / sam-low-rank-features
  Sharpness-Aware Minimization Leads to Low-Rank Features [NeurIPS 2023]
  ☆25Updated last year
• vsingh-group / LCODEC-deep-unlearning
  Code for CVPR22 paper "Deep Unlearning via Randomized Conditionally Independent Hessians"
  ☆25Updated 2 years ago
• nmndeep / revisiting-at
  [NeurIPS 2023] Code for the paper "Revisiting Adversarial Training for ImageNet: Architectures, Training and Generalization across Threa…
  ☆38Updated 10 months ago
• nblt / DLDR
  [TPAMI 2023] Low Dimensional Landscape Hypothesis is True: DNNs can be Trained in Tiny Subspaces
  ☆40Updated 2 years ago
• IBM / BadDiffusion
  Official repo to reproduce the paper "How to Backdoor Diffusion Models?" published at CVPR 2023
  ☆82Updated 2 months ago
• chenweixin107 / TrojDiff
  ☆54Updated last year
• yongchaoz / FRePo
  Official Code for Dataset Distillation using Neural Feature Regression (NeurIPS 2022)
  ☆46Updated 2 years ago
• cleverhans-lab / unrolling-sgd
  code release for "Unrolling SGD: Understanding Factors Influencing Machine Unlearning" published at EuroS&P'22
  ☆22Updated 2 years ago
• P2333 / SCORE
  A Self-Consistent Robust Error (ICML 2022)
  ☆67Updated last year
• YuxinWenRick / diffusion_memorization
  Official repo for Detecting, Explaining, and Mitigating Memorization in Diffusion Models (ICLR 2024)
  ☆56Updated 7 months ago
• hamidkazemi22 / CLIPInversion
  What do we learn from inverting CLIP models?
  ☆45Updated 8 months ago
• UCSC-VLAA / AdvXL
  [CVPR 2024] This repository includes the official implementation our paper "Revisiting Adversarial Training at Scale"
  ☆17Updated 7 months ago
• RulinShao / on-the-adversarial-robustness-of-visual-transformer
  Code for the paper "On the Adversarial Robustness of Visual Transformers"
  ☆54Updated 3 years ago