research
∙
09/01/2023
Baseline Defenses for Adversarial Attacks Against Aligned Language Models
As Large Language Models quickly become ubiquitous, it becomes critical ...
share
research
∙
04/24/2023
A Cookbook of Self-Supervised Learning
Self-supervised learning, dubbed the dark matter of intelligence, is a p...
research
∙
03/23/2023
Reckoning with the Disagreement Problem: Explanation Consensus as a Training Objective
As neural networks increasingly make critical decisions in high-stakes s...
research
∙
02/28/2023
Neural Auctions Compromise Bidder Information
Single-shot auctions are commonly used as a means to sell goods, for exa...
research
∙
02/14/2023
Universal Guidance for Diffusion Models
Typical diffusion models are trained to accept a particular form of cond...
research
∙
02/11/2022
End-to-end Algorithm Synthesis with Recurrent Networks: Logical Extrapolation Without Overthinking
Machine learning systems perform well on pattern matching tasks, but the...
research
∙
08/13/2021
Datasets for Studying Generalization from Easy to Hard Examples
We describe new datasets for studying generalization from easy to hard e...
research
∙
06/17/2021
MetaBalance: High-Performance Neural Networks for Class-Imbalanced Data
Class-imbalanced data, in which some classes contain far more samples th...
research
∙
06/08/2021
Can You Learn an Algorithm? Generalizing from Easy to Hard Problems with Recurrent Networks
Deep neural networks are powerful machines for visual pattern recognitio...
research
∙
06/02/2021
SAINT: Improved Neural Networks for Tabular Data via Row Attention and Contrastive Pre-Training
Tabular data underpins numerous high-impact applications of machine lear...
research
∙
02/22/2021
Thinking Deeply with Recurrence: Generalizing from Easy to Hard Sequential Reasoning Problems
Deep neural networks are powerful machines for visual pattern recognitio...
research
∙
12/18/2020
Dataset Security for Machine Learning: Data Poisoning, Backdoor Attacks, and Defenses
As machine learning systems grow in scale, so do their training data req...
research
∙
06/22/2020
Just How Toxic is Data Poisoning? A Unified Benchmark for Backdoor and Data Poisoning Attacks
Data poisoning and backdoor attacks manipulate training data in order to...
research
∙
04/20/2020
Headless Horseman: Adversarial Attacks on Transfer Learning Models
Transfer learning facilitates the training of task-specific classifiers ...
research
∙
02/21/2020
Adversarial Attacks on Machine Learning Systems for High-Frequency Trading
Algorithmic trading systems are often completely automated, and deep lea...
research
∙
10/01/2019
