VerIDeep: Verifying Integrity of Deep Neural Networks through Sensitive-Sample Fingerprinting

9 August 2018

Papers citing "VerIDeep: Verifying Integrity of Deep Neural Networks through Sensitive-Sample Fingerprinting"

7 / 7 papers shown

Title
DeepiSign-G: Generic Watermark to Stamp Hidden DNN Parameters for Self-contained Tracking A. Abuadbba Nicholas Rhodes Kristen Moore Bushra Sabir Shuo Wang Yansong Gao AAML 37 2 0 01 Jul 2024
Never trust, always verify : a roadmap for Trustworthy AI? L. Tidjon Foutse Khomh 41 15 0 23 Jun 2022
MPC-Friendly Commitments for Publicly Verifiable Covert Security Nitin Agrawal James Bell Adria Gascon Matt J. Kusner 26 4 0 15 Sep 2021
DeepiSign: Invisible Fragile Watermark to Protect the Integrityand Authenticity of CNN A. Abuadbba Hyoungshick Kim Surya Nepal 22 16 0 12 Jan 2021
DiabDeep: Pervasive Diabetes Diagnosis based on Wearable Medical Sensors and Efficient Neural Networks Hongxu Yin Bilal Mukadam Xiaoliang Dai N. Jha 34 47 0 11 Oct 2019
Adversarial examples in the physical world Alexey Kurakin Ian Goodfellow Samy Bengio SILM AAML 317 5,847 0 08 Jul 2016
Effective Approaches to Attention-based Neural Machine Translation Thang Luong Hieu H. Pham Christopher D. Manning 218 7,929 0 17 Aug 2015