Poisoning Cyberattacks to Design of Artificial Intelligence

The MIT Lincoln Laboratory project Poisoning Cyberattacks to Design of Artificial Intelligence (PoCyDAIn) aims to develop a framework for assessing the impact of poisoning attacks on cyber-ML systems.

Bibliographic Details
Format:	Article
Language:	en_US
Published:	2023
Subjects:	Machine Learning
Online Access:	https://hdl.handle.net/1721.1/153202

Similar Items

Modelling and monitoring of abrasive finishing processes using artificial intelligence techniques : a review
by: Pandiyan, Vigneashwara, et al.
Published: (2020)

Towards human-level artificial intelligence agents
by: Leung, Jonathan Cyril
Published: (2024)

Artificial intelligence-driven microalgae autotrophic batch cultivation: a comparative study of machine and deep learning-based image classification models
by: Chong, Roy Jun Wei, et al.
Published: (2024)

dAI_GO: artificial intelligence for fighting games
by: Teo, Ryan Cher Kean
Published: (2024)

Applying the UTAUT2 framework to patients' attitudes toward healthcare task shifting with artificial intelligence
by: Huang, Weiting, et al.
Published: (2024)

Development of an explainable artificial intelligence model for Asian vascular wound images
by: Lo, Joseph Zhiwen, et al.
Published: (2024)

Intelligent trajectory prediction algorithm design for dynamic obstacles under factory environments
by: Tan, Melvis Min Da
Published: (2024)

An Artificial Intelligence-Based Industry Peer Grouping System
by: Bonne, George, et al.
Published: (2022)

Artificial Intelligence
by: Rochester, N., et al.
Published: (2010)

Cyberattacks in the Gulf : lessons for active defence
by: Cheong, Damien D
Published: (2013)

Special session on attacking and protecting Artificial Intelligence
by: Bhasin, Shivam, et al.
Published: (2021)

Combining Neural Networks and Histogram Layers for Underwater Target Classification
Published: (2023)

Using Machine Learning to Trace Genetically Engineered DNA
Published: (2023)

Generating New Molecules with Graph Grammar
by: Hinkel, Lauren
Published: (2022)

Artificial intelligence analysis for feed ratio optimization in precision aquaculture
by: Galenius, Bryan Timothy
Published: (2024)

Nonparametric Sparsity and Regularization
by: Mosci, Sofia, et al.
Published: (2011)

Injection Molding at the MIT Artificial Intelligence Lab
by: Binnard, Michael
Published: (2008)

Predicting ship fuel consumption using artificial intelligence based on real-time data
by: Wong, Qing Er
Published: (2024)

Machine learning for detection of cyberattacks on industrial control systems
by: Kalra, Geet
Published: (2023)

iBCM: Interactive Bayesian Case Model Empowering Humans via Intuitive Interaction
by: Kim, Been, et al.
Published: (2015)

A survey on explainable artificial intelligence (XAI) : toward medical XAI
by: Tjoa, Erico, et al.
Published: (2021)

Intelligent detection of dynamic cracking along an interface of brittle material using high-speed photography assisted by data augmentation and machine learning
by: Tie, Jiahao, et al.
Published: (2024)

Phiala Shanahan is seeking fundamental answers about our physical world
by: Chu, Jennifer
Published: (2023)

Improving Delivery Performance Through Predicted Transit Times
by: Lee, Debra
Published: (2022)

Development of Machine Learning Algorithm for Acquiring Machining Data in Turning Process
by: Ali Al-Assadi, Hayder M. A.
Published: (2004)

Effectiveness of various machine learning methods in stock price prediction
by: Choo, Yong Fen
Published: (2024)

Determining the credit worthiness of retail banking customer by machine learning technique
by: Peng, Yangling
Published: (2024)

Fake image detection based on fact checking
by: Wu, Hongrui
Published: (2024)

Detecting hazardous events from online news and social media
by: Iman Zulhakeem Bin Azman
Published: (2024)

Machine learning applications for smart grids with solar PVs
by: Han, Weichou
Published: (2024)

Prediction of air quality index using machine learning
by: Cheah Jia'an
Published: (2024)

RFID & Analytics Driving Agility in Apparel Supply Chain
by: Kumar, Anil, et al.
Published: (2019)

Hybrid meta-heuristic algorithm based parameter optimization for extreme learning machines classification
by: Alade, Oyekale Abel
Published: (2023)

Ensemble-Based Risk Scoring with Extreme Learning Machine for Prediction of Adverse Cardiac Events
by: Liu, Nan, et al.
Published: (2018)

Artificial Intelligence
by: McCarthy, J. J., et al.
Published: (2010)

End-to-end DVB-S2X system design with deep learning-based channel estimation over satellite fading channels
by: Mfarej, Sumaya Dhari Awad
Published: (2021)

Machine learning based feature engineering for thermoelectric materials by design
by: Vaitesswar, U. S., et al.
Published: (2024)

CPP 302/CSE 401 - ARTIFICIAL INTELLIGENCE APRIL 1999.
by: PPSKOM, Pusat Pengajian Sains Komputer
Published: (1999)

Risk management, firm reputation, and the impact of successful cyberattacks on target firms
by: Kamiya, Shinichi, et al.
Published: (2021)

Machine learning-enabled forward prediction and inverse design of 4D-printed active plates
by: Sun, Xiaohao, et al.
Published: (2024)