Friendly Noise against Adversarial Noise: A Powerful Defense against
Data Poisoning Attacks

Friendly Noise against Adversarial Noise: A Powerful Defense against Data Poisoning Attacks

14 August 2022

Baharan Mirzasoleiman

Papers citing "Friendly Noise against Adversarial Noise: A Powerful Defense against Data Poisoning Attacks"

13 / 13 papers shown

Title
PureEBM: Universal Poison Purification via Mid-Run Dynamics of Energy-Based Models Omead Brandon Pooladzandi Jeffrey Q. Jiang Sunay Bhat Gregory Pottie AAML 31 0 0 28 May 2024
PureGen: Universal Data Purification for Train-Time Poison Defense via Generative Model Dynamics Sunay Bhat Jeffrey Q. Jiang Omead Brandon Pooladzandi Alexander Branch Gregory Pottie AAML 44 2 0 28 May 2024
FCert: Certifiably Robust Few-Shot Classification in the Era of Foundation Models Yanting Wang Wei Zou Jinyuan Jia 47 1 0 12 Apr 2024
Diffusion Denoising as a Certified Defense against Clean-label Poisoning Sanghyun Hong Nicholas Carlini Alexey Kurakin DiffM 45 3 0 18 Mar 2024
Comparing Spectral Bias and Robustness For Two-Layer Neural Networks: SGD vs Adaptive Random Fourier Features Aku Kammonen Lisi Liang Anamika Pandey Raúl Tempone 26 2 0 01 Feb 2024
A Comprehensive Survey of Attack Techniques, Implementation, and Mitigation Strategies in Large Language Models Aysan Esmradi Daniel Wankit Yip C. Chan AAML 38 11 0 18 Dec 2023
Mendata: A Framework to Purify Manipulated Training Data Zonghao Huang Neil Zhenqiang Gong Michael K. Reiter 19 0 0 03 Dec 2023
HINT: Healthy Influential-Noise based Training to Defend against Data Poisoning Attacks Minh-Hao Van Alycia N. Carey Xintao Wu TDI AAML 13 2 0 15 Sep 2023
FLIRT: Feedback Loop In-context Red Teaming Ninareh Mehrabi Palash Goyal Christophe Dupuy Qian Hu Shalini Ghosh R. Zemel Kai-Wei Chang Aram Galstyan Rahul Gupta DiffM 21 55 0 08 Aug 2023
Rethinking Backdoor Attacks Alaa Khaddaj Guillaume Leclerc Aleksandar Makelov Kristian Georgiev Hadi Salman Andrew Ilyas A. Madry SILM 34 28 0 19 Jul 2023
CleanCLIP: Mitigating Data Poisoning Attacks in Multimodal Contrastive Learning Hritik Bansal Nishad Singhi Yu Yang Fan Yin Aditya Grover Kai-Wei Chang AAML 34 42 0 06 Mar 2023
Mithridates: Auditing and Boosting Backdoor Resistance of Machine Learning Pipelines Eugene Bagdasaryan Vitaly Shmatikov AAML 24 2 0 09 Feb 2023
PECAN: A Deterministic Certified Defense Against Backdoor Attacks Yuhao Zhang Aws Albarghouthi Loris Dántoni AAML 30 4 0 27 Jan 2023