Qu-ANTI-zation: Exploiting Quantization Artifacts for Achieving Adversarial Outcomes

26 October 2021

Sanghyun Hong

Michael-Andrei Panaitescu-Liess

Papers citing "Qu-ANTI-zation: Exploiting Quantization Artifacts for Achieving Adversarial Outcomes"

3 / 3 papers shown

Title
Locking Machine Learning Models into Hardware Eleanor Clifford Adhithya Saravanan Harry Langford Cheng Zhang Yiren Zhao Robert D. Mullins Ilia Shumailov Jamie Hayes 30 0 0 31 May 2024
RIBAC: Towards Robust and Imperceptible Backdoor Attack against Compact DNN Huy Phan Cong Shi Yi Xie Tian-Di Zhang Zhuohang Li Tianming Zhao Jian-Dong Liu Yan Wang Ying Chen Bo Yuan AAML 32 6 0 22 Aug 2022
Quantization Backdoors to Deep Learning Commercial Frameworks Hua Ma Huming Qiu Yansong Gao Zhi-Li Zhang A. Abuadbba Minhui Xue Anmin Fu Jiliang Zhang S. Al-Sarawi Derek Abbott MQ 38 19 0 20 Aug 2021