Mithridates: Auditing and Boosting Backdoor Resistance of Machine Learning Pipelines

9 February 2023

Papers citing "Mithridates: Auditing and Boosting Backdoor Resistance of Machine Learning Pipelines"

9 / 9 papers shown

Title
Towards a Defense Against Federated Backdoor Attacks Under Continuous Training Shuai Wang J. Hayase Giulia Fanti Sewoong Oh FedML 8 1 0 24 May 2022
Hyperparameter Tuning with Renyi Differential Privacy Nicolas Papernot Thomas Steinke 117 118 0 07 Oct 2021
Opacus: User-Friendly Differential Privacy Library in PyTorch Ashkan Yousefpour I. Shilov Alexandre Sablayrolles Davide Testuggine Karthik Prasad ... Sayan Gosh Akash Bharadwaj Jessica Zhao Graham Cormode Ilya Mironov VLM 138 347 0 25 Sep 2021
Regularization Can Help Mitigate Poisoning Attacks... with the Right Hyperparameters Javier Carnerero-Cano Luis Muñoz-González P. Spencer Emil C. Lupu AAML 16 10 0 23 May 2021
Poisoning the Unlabeled Dataset of Semi-Supervised Learning Nicholas Carlini AAML 139 68 0 04 May 2021
Concealed Data Poisoning Attacks on NLP Models Eric Wallace Tony Zhao Shi Feng Sameer Singh SILM 6 18 0 23 Oct 2020
GLUE: A Multi-Task Benchmark and Analysis Platform for Natural Language Understanding Alex Jinpeng Wang Amanpreet Singh Julian Michael Felix Hill Omer Levy Samuel R. Bowman ELM 294 6,927 0 20 Apr 2018
Adversarial examples in the physical world Alexey Kurakin Ian Goodfellow Samy Bengio SILM AAML 250 5,813 0 08 Jul 2016
ImageNet Large Scale Visual Recognition Challenge Olga Russakovsky Jia Deng Hao Su J. Krause S. Satheesh ... A. Karpathy A. Khosla Michael S. Bernstein Alexander C. Berg Li Fei-Fei VLM ObjD 279 39,083 0 01 Sep 2014