Mantas Mazeika | DeepAI

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∙ 06/21/2023

An Overview of Catastrophic AI Risks

Rapid advancements in artificial intelligence (AI) have sparked growing ...

0 Dan Hendrycks, et al. ∙

∙ 06/20/2023

DecodingTrust: A Comprehensive Assessment of Trustworthiness in GPT Models

Generative Pre-trained Transformer (GPT) models have exhibited exciting ...

0 Boxin Wang, et al. ∙

∙ 10/18/2022

How Would The Viewer Feel? Estimating Wellbeing From Video Scenarios

In recent years, deep neural networks have demonstrated increasingly str...

0 Mantas Mazeika, et al. ∙

∙ 06/30/2022

Forecasting Future World Events with Neural Networks

Forecasting future world events is a challenging but valuable task. Fore...

0 Andy Zou, et al. ∙

∙ 06/28/2022

How to Steer Your Adversary: Targeted and Efficient Model Stealing Defenses with Gradient Redirection

Model stealing attacks present a dilemma for public machine learning API...

12 Mantas Mazeika, et al. ∙

∙ 06/13/2022

X-Risk Analysis for AI Research

Artificial intelligence (AI) has the potential to greatly improve societ...

0 Dan Hendrycks, et al. ∙

∙ 12/09/2021

PixMix: Dreamlike Pictures Comprehensively Improve Safety Measures

In real-world applications of machine learning, reliable and safe system...

3 Dan Hendrycks, et al. ∙

∙ 10/25/2021

What Would Jiminy Cricket Do? Towards Agents That Behave Morally

When making everyday decisions, people are guided by their conscience, a...

0 Dan Hendrycks, et al. ∙

∙ 05/20/2021

Measuring Coding Challenge Competence With APPS

While programming is one of the most broadly applicable skills in modern...

0 Dan Hendrycks, et al. ∙

∙ 09/07/2020

Measuring Massive Multitask Language Understanding

We propose a new test to measure a text model's multitask accuracy. The ...

28 Dan Hendrycks, et al. ∙

∙ 11/25/2019

A Benchmark for Anomaly Segmentation

Detecting out-of-distribution examples is important for safety-critical ...

26 Dan Hendrycks, et al. ∙

∙ 06/28/2019

Using Self-Supervised Learning Can Improve Model Robustness and Uncertainty

Self-supervision provides effective representations for downstream tasks...

5 Dan Hendrycks, et al. ∙

∙ 01/28/2019

Using Pre-Training Can Improve Model Robustness and Uncertainty

Tuning a pre-trained network is commonly thought to improve data efficie...

17 Dan Hendrycks, et al. ∙

∙ 12/11/2018

Deep Anomaly Detection with Outlier Exposure

It is important to detect and handle anomalous inputs when deploying mac...

8 Dan Hendrycks, et al. ∙

∙ 02/14/2018

Using Trusted Data to Train Deep Networks on Labels Corrupted by Severe Noise

The growing importance of massive datasets with the advent of deep learn...

0 Dan Hendrycks, et al. ∙

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