Alternatives and similar repositories for Adv-Diffusion

Users that are interested in Adv-Diffusion are comparing it to the libraries listed below

• joellliu / DiffProtect
  ☆34Updated 5 months ago
• shikiw / initiative-defense-for-deepfake
  [AAAI 2021] Initiative Defense against Facial Manipulation
  ☆38Updated 2 years ago
• AbstractTeen / AntiForgery
  ☆47Updated 3 years ago
• somuchtome / SimAC
  [CVPR 2024] official code for SimAC
  ☆21Updated last year
• kangmintong / DiffAttack
  [NeurIPS 2023] Codes for DiffAttack: Evasion Attacks Against Diffusion-Based Adversarial Purification
  ☆39Updated last year
• VDIGPKU / CMUA-Watermark
  [AAAI 2022] CMUA-Watermark: A Cross-Model Universal Adversarial Watermark for Combating Deepfakes
  ☆108Updated last year
• JWLiang007 / PFF
  Official implementation of "Poisoned Forgery Face: Towards Backdoor Attacks on Face Forgery Detection" (ICLR 2024)
  ☆18Updated last year
• ZhengyueZhao / GrIDPure
  Code of paper [CVPR'24: Can Protective Perturbation Safeguard Personal Data from Being Exploited by Stable Diffusion?]
  ☆23Updated last year
• riolys / DisDiff
  Disrupting Diffusion: Token-Level Attention Erasure Attack against Diffusion-based Customization(ACM MM2024)
  ☆18Updated 10 months ago
• caradryanl / ACE
  ☆28Updated last year
• tokaka22 / CVPR23-GMAA
  [CVPR2023]Discrete Point-wise Attack Is Not Enough: Generalized Manifold Adversarial Attack for Face Recognition
  ☆41Updated 2 years ago
• tobuta / evadingfakedetector
  We propose a statistical consistency attack (StatAttack) against diverse DeepFake detectors.
  ☆18Updated 2 years ago
• wyczzy / StealthDiffusion
  This repository is the official implementation of StealthDiffusion: Towards Evading Diffusion Forensic Detection through Diffusion Model
  ☆20Updated last year
• CGCL-codes / AMT-GAN
  [CVPR 2022] The official implementation of our CVPR 2022 paper "Protecting Facial Privacy: Generating Adversarial Identity Masks via Styl…
  ☆92Updated 2 years ago
• steven202 / semantic_adv_via_dm
  [BMVC 2023] Semantic Adversarial Attacks via Diffusion Models
  ☆24Updated 2 years ago
• koushiksrivats / face_attribute_attack
  Official implementation of the paper "Evading Forensic Classifiers with Attribute-Conditioned Adversarial Faces" (CVPR 23)
  ☆45Updated 2 years ago
• vancyland / Prompt-Agnostic-Adversarial-Perturbation-for-Customized-Diffusion-Models.github.io
  Official implementation of "Prompt-Agnostic Adversarial Perturbation for Customized Diffusion Models"
  ☆25Updated 8 months ago
• hurunyi / Robust-Wide
  [ECCV 2024] Robust-Wide: Robust Watermarking against Instruction-driven Image Editing (Official Implementation)
  ☆33Updated 8 months ago
• gq-max / AdvDiffVLM
  ☆48Updated 9 months ago
• rmin2000 / WaDiff
  A Watermark-Conditioned Diffusion Model for IP Protection (ECCV 2024)
  ☆34Updated 10 months ago
• xavihart / Diff-Protect
  🛡️[ICLR'2024] Toward effective protection against diffusion-based mimicry through score distillation, a.k.a SDS-Attack
  ☆59Updated last year
• zhenglisec / UnGANable
  ☆25Updated 2 years ago
• lafeat / advdiffuser
  AdvDiffuser: Natural Adversarial Example Synthesis with Diffusion Models (ICCV 2023)
  ☆19Updated 2 years ago
• ZhentingWang / LatentTracer
  ☆31Updated last year
• LinQinLiang / SSAH-adversarial-attack
  Code for the paper "Frequency-driven Imperceptible Adversarial Attack on Semantic Similarity"
  ☆60Updated 2 years ago
• ningyu1991 / ArtificialGANFingerprints
  The official PyTorch implementation for ICCV'21 Oral paper 'Artificial GAN Fingerprints: Rooting Deepfake Attribution in Training Data'
  ☆77Updated 2 years ago
• yuhongwei22 / MFA
  (AAAI 24) Step Vulnerability Guided Mean Fluctuation Adversarial Attack against Conditional Diffusion Models
  ☆11Updated last year
• TuBui / image_attribution
  This is the official repository for the ECCV 2022 paper "RepMix: Representation Mixing for Robust Attribution of Synthesized Images"
  ☆20Updated 3 years ago
• CO2-cityao / CAAT
  ☆14Updated last year
• datar001 / Awesome-AD-on-T2IDM
  A collection of resources on attacks and defenses targeting text-to-image diffusion models
  ☆90Updated last month