- What is Adversarial Neural Cryptography? - Apr 22, 2021.
The novel approach combines GANs and cryptography in a single, powerful security method.
Adversarial, AI, Cryptography, GANs, Security
- Adversarial Attacks on Explainable AI - Feb 9, 2021.
Are explainability methods black-box themselves?
Adversarial, AI, Explainability, Explainable AI
- Machine learning adversarial attacks are a ticking time bomb - Jan 29, 2021.
Software developers and cyber security experts have long fought the good fight against vulnerabilities in code to defend against hackers. A new, subtle approach to maliciously targeting machine learning models has been a recent hot topic in research, but its statistical nature makes it difficult to find and patch these so-called adversarial attacks. Such threats in the real-world are becoming imminent as the adoption of machine learning spreads, and a systematic defense must be implemented.
Adversarial, Generative Adversarial Network, Machine Learning
- Adversarial Examples in Deep Learning – A Primer - Nov 20, 2020.
Bigger compute has led to increasingly impressive deep learning computer vision model SOTA results. However most of these SOTA deep learning models are brought down to their knees when making predictions on adversarial images. Read on to find out more.
Adversarial, Computer Vision, Deep Learning
- Adversarial Validation Overview - Feb 13, 2020.
Learn how to implement adversarial validation that builds a classifier to determine if your data is from the training or testing sets. If you can do this, then your data has issues, and your adversarial validation model can help you diagnose the problem.
Adversarial, Kaggle, Machine Learning, Python, Validation
Top 10 AI, Machine Learning Research Articles to know - Jan 30, 2020.
We’ve seen many predictions for what new advances are expected in the field of AI and machine learning. Here, we review a “data set” based on what researchers were apparently studying at the turn of the decade to take a fresh glimpse into what might come to pass in 2020.
2020 Predictions, Adversarial, Anomaly Detection, Autoencoder, Convolutional Neural Networks, Graph Theory, NLP, Transformer, Trends
- Intro to Adversarial Machine Learning and Generative Adversarial Networks - Oct 23, 2019.
In this crash course on GANs, we explore where they fit into the pantheon of generative models, how they've changed over time, and what the future has in store for this area of machine learning.
Adversarial, AI, GANs, Generative Adversarial Network, Machine Learning
- Cartoon: AI + Self-Driving + BBQ = ? - Jul 4, 2019.
KDnuggets Cartoon looks at what happens when AI and self-driving technology collide with the traditional summer pastime of grilling.
Adversarial, Cartoon, Deep Learning, Self-Driving Car
- Why Machine Learning is vulnerable to adversarial attacks and how to fix it - Jun 13, 2019.
Machine learning can process data imperceptible to humans to produce expected results. These inconceivable patterns are inherent in the data but may make models vulnerable to adversarial attacks. How can developers harness these features to not lose control of AI?
Adversarial, Machine Learning, Safety, Security
- Interpolation in Autoencoders via an Adversarial Regularizer - Mar 29, 2019.
Adversarially Constrained Autoencoder Interpolation (ACAI; Berthelot et al., 2018) is a regularization procedure that uses an adversarial strategy to create high-quality interpolations of the learned representations in autoencoders.
Adversarial, AISC, Autoencoder, Machine Learning
- Breaking neural networks with adversarial attacks - Mar 7, 2019.
We develop an intuition behind "adversarial attacks" on deep neural networks, and understand why these attacks are so successful.
Adversarial, Deep Learning, Neural Networks, Privacy
- Machine Learning Security - Jan 25, 2019.
We take a look at how malicious actors can break machine learning models and what some of the best practices are when it comes to stopping them.
Adversarial, Alexa, Machine Learning, Security
- Adversarial Examples, Explained - Oct 16, 2018.
Deep neural networks—the kind of machine learning models that have recently led to dramatic performance improvements in a wide range of applications—are vulnerable to tiny perturbations of their inputs. We investigate how to deal with these vulnerabilities.
Adversarial, Deep Learning
- Cartoon: The First Ever Self-Driving, Deep Learning Grill - Jul 15, 2017.
New KDnuggets Cartoon looks at what happens when self-driving craze collides with the traditional summer pastime of grilling.
Adversarial, Cartoon, Deep Learning, Self-Driving Car
- Adversarial Validation, Explained - Oct 7, 2016.
This post proposes and outlines adversarial validation, a method for selecting training examples most similar to test examples and using them as a validation set, and provides a practical scenario for its usefulness.
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Adversarial, Explained, Training, Validation
- Deep Learning Adversarial Examples – Clarifying Misconceptions - Jul 15, 2015.
Google scientist clarifies misconceptions and myths around Deep Learning Adversarial Examples, including: they do not occur in practice, Deep Learning is more vulnerable to them, they can be easily solved, and human brains make similar mistakes.
Adversarial, Deep Learning, Ian Goodfellow, Myths, Regularization
