Radioactive data: tracing through training

3 February 2020

Alexandre Sablayrolles

Papers citing "Radioactive data: tracing through training"

47 / 47 papers shown

Title
Towards Artificial General or Personalized Intelligence? A Survey on Foundation Models for Personalized Federated Intelligence Yu Qiao Huy Q. Le Avi Deb Raha Phuong-Nam Tran Apurba Adhikary Mengchun Zhang Loc X. Nguyen Eui-nam Huh Dusit Niyato C. Hong AI4CE 31 0 0 11 May 2025
MultiNeRF: Multiple Watermark Embedding for Neural Radiance Fields Yash Kulthe Andrew Gilbert John Collomosse 41 0 0 03 Apr 2025
Instance-Level Data-Use Auditing of Visual ML Models Zonghao Huang Neil Zhenqiang Gong Michael K. Reiter MLAU 60 0 0 28 Mar 2025
Obliviate: Efficient Unmemorization for Protecting Intellectual Property in Large Language Models M. Russinovich Ahmed Salem MU CLL 59 0 0 20 Feb 2025
Towards Data Governance of Frontier AI Models Jason Hausenloy Duncan McClements Madhavendra Thakur 72 1 0 05 Dec 2024
SoK: Dataset Copyright Auditing in Machine Learning Systems L. Du Xuanru Zhou M. Chen Chusong Zhang Zhou Su Peng Cheng Jiming Chen Zhikun Zhang MLAU 18 3 0 22 Oct 2024
Towards Reliable Verification of Unauthorized Data Usage in Personalized Text-to-Image Diffusion Models Boheng Li Yanhao Wei Yankai Fu Z. Wang Yiming Li Jie Zhang Run Wang Tianwei Zhang DiffM AAML 24 9 0 14 Oct 2024
Data Taggants: Dataset Ownership Verification via Harmless Targeted Data Poisoning Wassim Bouaziz El-Mahdi El-Mhamdi Nicolas Usunier TDI AAML 31 1 0 09 Oct 2024
Ward: Provable RAG Dataset Inference via LLM Watermarks Nikola Jovanović Robin Staab Maximilian Baader Martin Vechev 139 1 0 04 Oct 2024
Proactive Schemes: A Survey of Adversarial Attacks for Social Good Vishal Asnani Xi Yin Xiaoming Liu AAML 36 1 0 24 Sep 2024
MemControl: Mitigating Memorization in Diffusion Models via Automated Parameter Selection Raman Dutt Pedro Sanchez Ondrej Bohdal Sotirios A. Tsaftaris Timothy M. Hospedales MedIm 33 2 0 29 May 2024
The Mosaic Memory of Large Language Models Igor Shilov Matthieu Meeus Yves-Alexandre de Montjoye 39 3 0 24 May 2024
AI Competitions and Benchmarks: Dataset Development Romain Egele Julio C. S. Jacques Junior Jan N. van Rijn Isabelle M Guyon Xavier Baró Albert Clapés Prasanna Balaprakash Sergio Escalera T. Moeslund Jun Wan 42 0 0 15 Apr 2024
ProMark: Proactive Diffusion Watermarking for Causal Attribution Vishal Asnani John Collomosse Tu Bui Xiaoming Liu S. Agarwal WIGM DiffM 52 13 0 14 Mar 2024
AMUSE: Adaptive Multi-Segment Encoding for Dataset Watermarking Saeed Ranjbar Alvar Mohammad Akbari David Yue Yong Zhang 26 2 0 08 Mar 2024
DeepEclipse: How to Break White-Box DNN-Watermarking Schemes Alessandro Pegoraro Carlotta Segna Kavita Kumari Ahmad-Reza Sadeghi AAML 31 0 0 06 Mar 2024
Watermarking Makes Language Models Radioactive Tom Sander Pierre Fernandez Alain Durmus Matthijs Douze Teddy Furon WaLM 38 11 0 22 Feb 2024
Proving membership in LLM pretraining data via data watermarks Johnny Tian-Zheng Wei Ryan Yixiang Wang Robin Jia WaLM 24 22 0 16 Feb 2024
Is my Data in your AI Model? Membership Inference Test with Application to Face Images Daniel DeAlcala Aythami Morales Gonzalo Mancera Julian Fierrez Ruben Tolosana J. Ortega-Garcia CVBM 26 7 0 14 Feb 2024
GraphGuard: Detecting and Counteracting Training Data Misuse in Graph Neural Networks Bang Wu He Zhang Xiangwen Yang Shuo Wang Minhui Xue Shirui Pan Xingliang Yuan 59 6 0 13 Dec 2023
SoK: Unintended Interactions among Machine Learning Defenses and Risks Vasisht Duddu S. Szyller Nadarajah Asokan AAML 47 2 0 07 Dec 2023
Mendata: A Framework to Purify Manipulated Training Data Zonghao Huang Neil Zhenqiang Gong Michael K. Reiter 17 0 0 03 Dec 2023
Adversarial Machine Learning for Social Good: Reframing the Adversary as an Ally Shawqi Al-Maliki Adnan Qayyum Hassan Ali M. Abdallah Junaid Qadir D. Hoang Dusit Niyato Ala I. Al-Fuqaha AAML 26 3 0 05 Oct 2023
Hey That's Mine Imperceptible Watermarks are Preserved in Diffusion Generated Outputs Luke Ditria Tom Drummond WIGM 21 2 0 22 Aug 2023
The "code'' of Ethics:A Holistic Audit of AI Code Generators Wanlun Ma Yiliao Song Minhui Xue Sheng Wen Yang Xiang 22 4 0 22 May 2023
Identifying Appropriate Intellectual Property Protection Mechanisms for Machine Learning Models: A Systematization of Watermarking, Fingerprinting, Model Access, and Attacks Isabell Lederer Rudolf Mayer Andreas Rauber 24 19 0 22 Apr 2023
GrOVe: Ownership Verification of Graph Neural Networks using Embeddings Asim Waheed Vasisht Duddu Nadarajah Asokan 35 9 0 17 Apr 2023
Did You Train on My Dataset? Towards Public Dataset Protection with Clean-Label Backdoor Watermarking Ruixiang Tang Qizhang Feng Ninghao Liu Fan Yang Xia Hu 24 36 0 20 Mar 2023
On the Robustness of Dataset Inference S. Szyller Rui Zhang Jian Liu Nadarajah Asokan AAML 20 6 0 24 Oct 2022
Untargeted Backdoor Watermark: Towards Harmless and Stealthy Dataset Copyright Protection Yiming Li Yang Bai Yong Jiang Yong-Liang Yang Shutao Xia Bo Li AAML 45 97 0 27 Sep 2022
Data Isotopes for Data Provenance in DNNs Emily Wenger Xiuyu Li Ben Y. Zhao Vitaly Shmatikov 18 12 0 29 Aug 2022
Conflicting Interactions Among Protection Mechanisms for Machine Learning Models S. Szyller Nadarajah Asokan AAML 20 7 0 05 Jul 2022
Membership Inference via Backdooring Hongsheng Hu Z. Salcic Gillian Dobbie Jinjun Chen Lichao Sun Xuyun Zhang MIACV 25 30 0 10 Jun 2022
The Different Faces of AI Ethics Across the World: A Principle-Implementation Gap Analysis L. Tidjon Foutse Khomh 22 7 0 12 May 2022
Holistic Adversarial Robustness of Deep Learning Models Pin-Yu Chen Sijia Liu AAML 41 16 0 15 Feb 2022
Understanding Rare Spurious Correlations in Neural Networks Yao-Yuan Yang Chi-Ning Chou Kamalika Chaudhuri AAML 16 25 0 10 Feb 2022
SoK: Anti-Facial Recognition Technology Emily Wenger Shawn Shan Haitao Zheng Ben Y. Zhao PICV 32 13 0 08 Dec 2021
Lightweight machine unlearning in neural network Kongyang Chen Yiwen Wang Yao Huang MU 20 7 0 10 Nov 2021
10 Security and Privacy Problems in Large Foundation Models Jinyuan Jia Hongbin Liu Neil Zhenqiang Gong 11 7 0 28 Oct 2021
CoProtector: Protect Open-Source Code against Unauthorized Training Usage with Data Poisoning Zhensu Sun Xiaoning Du Fu Song Mingze Ni Li Li 25 66 0 25 Oct 2021
A Framework for Deprecating Datasets: Standardizing Documentation, Identification, and Communication A. Luccioni Frances Corry H. Sridharan Mike Ananny J. Schultz Kate Crawford 48 29 0 18 Oct 2021
Federated Unlearning Gaoyang Liu Xiaoqiang Ma Yang Yang Chen Wang Jiangchuan Liu MU 41 53 0 27 Dec 2020
Surgical Data Science -- from Concepts toward Clinical Translation Lena Maier-Hein Matthias Eisenmann Duygu Sarikaya Keno Marz Toby Collins ... D. Teber F. Uckert Beat P. Müller-Stich Pierre Jannin Stefanie Speidel AI4CE 25 223 0 30 Oct 2020
Auditing Differentially Private Machine Learning: How Private is Private SGD? Matthew Jagielski Jonathan R. Ullman Alina Oprea FedML 10 237 0 13 Jun 2020
MetaPoison: Practical General-purpose Clean-label Data Poisoning W. R. Huang Jonas Geiping Liam H. Fowl Gavin Taylor Tom Goldstein 9 188 0 01 Apr 2020
Towards Probabilistic Verification of Machine Unlearning David M. Sommer Liwei Song Sameer Wagh Prateek Mittal AAML 11 71 0 09 Mar 2020
Do CNNs Encode Data Augmentations? Eddie Q. Yan Yanping Huang OOD 13 5 0 29 Feb 2020