Algorithms and Hardness for Attention and Kernel Density Estimation

Algorithms and Hardness for Attention and Kernel Density Estimation

Can LLMs Keep a Secret? Testing Privacy Implications of Language Models

Can LLMs Keep a Secret? Testing Privacy Implications of Language Models

Low Cost High Power Membership Inference Attacks

Low Cost High Power Membership Inference Attacks

Oblivious RAM: From Theory to Large-scale Real-world Deployment

Oblivious RAM: From Theory to Large-scale Real-world Deployment

Challenges in Augmenting Large Language Models with Private Data

Challenges in Augmenting Large Language Models with Private Data

The Data Minimization Principle in Machine Learning

The Data Minimization Principle in Machine Learning

Copyright Regenerated: Harnessing GenAI to Measure Originality and Copyright Scope

Copyright Regenerated: Harnessing GenAI to Measure Originality and Copyright Scope

A Unified Analysis of Label Inference Attacks

A Unified Analysis of Label Inference Attacks

Design is Testability

Design is Testability

Charles Hoskinson | CEO of Input Output Global | web3 talks | Apr 4th 2024 | MC: Marlon Ruiz

Charles Hoskinson | CEO of Input Output Global | web3 talks | Apr 4th 2024 | MC: Marlon Ruiz

Limitations of Stochastic Selection with Pairwise Independent Priors

Limitations of Stochastic Selection with Pairwise Independent Priors

NASA CARA - Air Traffic Control in Spaaaaaaaace

NASA CARA - Air Traffic Control in Spaaaaaaaace

How Your Brain Processes Code

How Your Brain Processes Code

Fixed-point Error Bounds for Mean-payoff Markov Decision Processes

Fixed-point Error Bounds for Mean-payoff Markov Decision Processes

One Tree to Rule Them All: Polylogarithmic Universal Steiner Trees

One Tree to Rule Them All: Polylogarithmic Universal Steiner Trees

Understanding Oversmoothing in Graph Neural Networks (GNNs): Insights from Two Theoretical Studies

Understanding Oversmoothing in Graph Neural Networks (GNNs): Insights from Two Theoretical Studies

Socially Responsible Software Development (Teaching Software Design Systematically)

Socially Responsible Software Development (Teaching Software Design Systematically)

Understanding and Mitigating Copying in Diffusion Models

Understanding and Mitigating Copying in Diffusion Models

Efficient Training Image Extraction from Diffusion Models Ryan Webs

Efficient Training Image Extraction from Diffusion Models Ryan Webs

High-Dimensional Prediction for Sequential Decision Making

High-Dimensional Prediction for Sequential Decision Making

Representational Strengths and Limitations of Transformers

Representational Strengths and Limitations of Transformers

Steven Goldfeder | CEO Offchain Labs / Arbitrum | web3 talks | Aug 24 2023 | MC: Marlon Ruiz

Steven Goldfeder | CEO Offchain Labs / Arbitrum | web3 talks | Aug 24 2023 | MC: Marlon Ruiz

Differentially Private Sampling from Distributions

Differentially Private Sampling from Distributions

Revisiting Nearest Neighbors from a Sparse Signal Approximation View

Revisiting Nearest Neighbors from a Sparse Signal Approximation View

2023 Blockly Developer Summit DAY 1-14: BlocksCAD - Math + Coding + Design

2023 Blockly Developer Summit DAY 1-14: BlocksCAD - Math + Coding + Design

2023 Blockly Developer Summit Day 2-2: Blockly Themes for Accessibility

2023 Blockly Developer Summit Day 2-2: Blockly Themes for Accessibility

2023 Blockly Developer Summit DAY 1-12: Serialization and Visual Diff

2023 Blockly Developer Summit DAY 1-12: Serialization and Visual Diff

2023 Blockly Developer Summit DAY 1-7: Cubi - Extending Blockly for Teachers

2023 Blockly Developer Summit DAY 1-7: Cubi - Extending Blockly for Teachers

2023 Blockly Developer Summit DAY 1-5: The Future of Computational Thinking

2023 Blockly Developer Summit DAY 1-5: The Future of Computational Thinking

2023 Blockly Developer Summit Day 2-5: Plug-ins Demonstration

2023 Blockly Developer Summit Day 2-5: Plug-ins Demonstration