Preventing Unauthorized Use of Proprietary Data: Poisoning for Secure Dataset Release

16 February 2021

Papers citing "Preventing Unauthorized Use of Proprietary Data: Poisoning for Secure Dataset Release"

10 / 10 papers shown

Title
Timber! Poisoning Decision Trees Stefano Calzavara Lorenzo Cazzaro Massimo Vettori AAML 25 0 0 01 Oct 2024
Re-thinking Data Availablity Attacks Against Deep Neural Networks Bin Fang Bo-wen Li Shuang Wu Ran Yi Shouhong Ding Lizhuang Ma AAML 35 0 0 18 May 2023
Unlearnable Graph: Protecting Graphs from Unauthorized Exploitation Yixin Liu Chenrui Fan Pan Zhou Lichao Sun 6 4 0 05 Mar 2023
Data Isotopes for Data Provenance in DNNs Emily Wenger Xiuyu Li Ben Y. Zhao Vitaly Shmatikov 18 12 0 29 Aug 2022
Indiscriminate Data Poisoning Attacks on Neural Networks Yiwei Lu Gautam Kamath Yaoliang Yu AAML 30 24 0 19 Apr 2022
Execute Order 66: Targeted Data Poisoning for Reinforcement Learning Harrison Foley Liam H. Fowl Tom Goldstein Gavin Taylor AAML 17 9 0 03 Jan 2022
Availability Attacks Create Shortcuts Da Yu Huishuai Zhang Wei Chen Jian Yin Tie-Yan Liu AAML 25 57 0 01 Nov 2021
Adversarial Examples Make Strong Poisons Liam H. Fowl Micah Goldblum Ping Yeh-Chiang Jonas Geiping Wojtek Czaja Tom Goldstein SILM 23 131 0 21 Jun 2021
Sleeper Agent: Scalable Hidden Trigger Backdoors for Neural Networks Trained from Scratch Hossein Souri Liam H. Fowl Ramalingam Chellappa Micah Goldblum Tom Goldstein SILM 22 123 0 16 Jun 2021
Disrupting Model Training with Adversarial Shortcuts Ivan Evtimov Ian Covert Aditya Kusupati Tadayoshi Kohno AAML 13 10 0 12 Jun 2021