b'Dawn Song'

research

∙ 08/28/2023

Identifying and Mitigating the Security Risks of Generative AI

Every major technical invention resurfaces the dual-use dilemma – the ne...

0 Clark Barrett, et al. ∙

research

∙ 07/05/2023

SoK: Privacy-Preserving Data Synthesis

As the prevalence of data analysis grows, safeguarding data privacy has ...

0 Yuzheng Hu, et al. ∙

research

∙ 06/26/2023

MFDPG: Multi-Factor Authenticated Password Management With Zero Stored Secrets

While password managers are a vital tool for internet security, they can...

0 Vivek Nair, et al. ∙

research

∙ 06/21/2023

Do you still need a manual smart contract audit?

We investigate the feasibility of employing large language models (LLMs)...

0 Isaac David, et al. ∙

research

∙ 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. ∙

research

∙ 06/15/2023

What Drives the (In)stability of a Stablecoin?

In May 2022, an apparent speculative attack, followed by market panic, l...

0 Yujin Kwon, et al. ∙

research

∙ 06/13/2023

Multi-Factor Credential Hashing for Asymmetric Brute-Force Attack Resistance

Since the introduction of bcrypt in 1999, adaptive password hashing func...

0 Vivek Nair, et al. ∙

research

∙ 06/13/2023

Decentralizing Custodial Wallets with MFKDF

The average cryptocurrency user today faces a difficult choice between c...

0 Vivek Nair, et al. ∙

research

∙ 06/10/2023

Truth in Motion: The Unprecedented Risks and Opportunities of Extended Reality Motion Data

Motion tracking "telemetry" data lies at the core of nearly all modern e...

0 Vivek Nair, et al. ∙

research

∙ 06/08/2023

Parallel and Asynchronous Smart Contract Execution

Today's blockchains suffer from low throughput and high latency, which i...

0 Jian Liu, et al. ∙

research

∙ 05/25/2023

The False Promise of Imitating Proprietary LLMs

An emerging method to cheaply improve a weaker language model is to fine...

0 Arnav Gudibande, et al. ∙

research

∙ 05/23/2023

Towards Automated Security Analysis of Smart Contracts based on Execution Property Graph

Identifying and mitigating vulnerabilities in smart contracts is crucial...

0 Kaihua Qin, et al. ∙

research

∙ 04/25/2023

Blockchain Large Language Models

This paper presents a dynamic, real-time approach to detecting anomalous...

0 Yu Gai, et al. ∙

research

∙ 04/17/2023

Unpacking How Decentralized Autonomous Organizations (DAOs) Work in Practice

Decentralized Autonomous Organizations (DAOs) have emerged as a novel wa...

0 Tanusree Sharma, et al. ∙

research

∙ 03/31/2023

The Blockchain Imitation Game

The use of blockchains for automated and adversarial trading has become ...

0 Kaihua Qin, et al. ∙

research

∙ 03/10/2023

TrojDiff: Trojan Attacks on Diffusion Models with Diverse Targets

Diffusion models have achieved great success in a range of tasks, such a...

0 Weixin Chen, et al. ∙

research

∙ 01/14/2023

SoK: Data Privacy in Virtual Reality

The adoption of virtual reality (VR) technologies has rapidly gained mom...

0 Gonzalo Munilla Garrido, et al. ∙

research

∙ 12/20/2022

ThreatKG: A Threat Knowledge Graph for Automated Open-Source Cyber Threat Intelligence Gathering and Management

Despite the increased adoption of open-source cyber threat intelligence ...

0 Peng Gao, et al. ∙

research

∙ 12/10/2022

Specular: Towards Trust-minimized Blockchain Execution Scalability with EVM-native Fraud Proofs

An optimistic rollup (ORU) enables refereed delegation of computation fr...

0 Zhe Ye, et al. ∙

research

∙ 11/07/2022

Lessons Learned: Surveying the Practicality of Differential Privacy in the Industry

Since its introduction in 2006, differential privacy has emerged as a pr...

0 Gonzalo Munilla Garrido, et al. ∙

research

∙ 11/01/2022

DensePure: Understanding Diffusion Models towards Adversarial Robustness

Diffusion models have been recently employed to improve certified robust...

7 Chaowei Xiao, et al. ∙

research

∙ 10/26/2022

Benchmarking Language Models for Code Syntax Understanding

Pre-trained language models have demonstrated impressive performance in ...

0 Da Shen, et al. ∙

research

∙ 10/25/2022

IELM: An Open Information Extraction Benchmark for Pre-Trained Language Models

We introduce a new open information extraction (OIE) benchmark for pre-t...

0 Chenguang Wang, et al. ∙

research

∙ 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. ∙

research

∙ 10/01/2022

zkBridge: Trustless Cross-chain Bridges Made Practical

Blockchains have seen growing traction with cryptocurrencies reaching a ...

0 Tiancheng Xie, et al. ∙

research

∙ 09/30/2022

Cerberus: A Formal Approach to Secure and Efficient Enclave Memory Sharing

Hardware enclaves rely on a disjoint memory model, which maps each physi...

0 Dayeol Lee, et al. ∙

research

∙ 09/19/2022

Joint Language Semantic and Structure Embedding for Knowledge Graph Completion

The task of completing knowledge triplets has broad downstream applicati...

0 Jianhao Shen, et al. ∙

research

∙ 08/27/2022

SoK: Decentralized Finance (DeFi) Incidents

Within just four years, the blockchain-based Decentralized Finance (DeFi...

0 Liyi Zhou, et al. ∙

research

∙ 08/11/2022

Going Incognito in the Metaverse

Virtual reality (VR) telepresence applications and the so-called "metave...

0 Vivek Nair, et al. ∙

research

∙ 08/10/2022

Multi-Factor Key Derivation Function (MFKDF)

We present the first general construction of a Multi-Factor Key Derivati...

0 Vivek Nair, et al. ∙

research

∙ 07/26/2022

Exploring the Unprecedented Privacy Risks of the Metaverse

Thirty study participants playtested an innocent-looking "escape room" g...

0 Vivek Nair, et al. ∙

research

∙ 07/21/2022

UniFed: A Benchmark for Federated Learning Frameworks

Federated Learning (FL) has become a practical and popular paradigm in m...

11 Xiaoyuan Liu, et al. ∙

research

∙ 07/19/2022

Is Vertical Logistic Regression Privacy-Preserving? A Comprehensive Privacy Analysis and Beyond

We consider vertical logistic regression (VLR) trained with mini-batch g...

5 Yuzheng Hu, et al. ∙

research

∙ 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. ∙

research

∙ 05/24/2022

Byzantine-Robust Federated Learning with Optimal Statistical Rates and Privacy Guarantees

We propose Byzantine-robust federated learning protocols with nearly opt...

7 Banghua Zhu, et al. ∙

research

∙ 05/21/2022

DeepStruct: Pretraining of Language Models for Structure Prediction

We introduce a method for improving the structural understanding abiliti...

0 Chenguang Wang, et al. ∙

research

∙ 05/14/2022

The Sky Above The Clouds

Technology ecosystems often undergo significant transformations as they ...

0 Sarah Chasins, et al. ∙

research

∙ 01/19/2022

Shades of Finality and Layer 2 Scaling

Blockchains combine a distributed append-only log with a virtual machine...

0 Bennet Yee, et al. ∙

research

∙ 12/10/2021

Copy, Right? A Testing Framework for Copyright Protection of Deep Learning Models

Deep learning (DL) models, especially those large-scale and high-perform...

0 Jialuo Chen, et al. ∙

research

∙ 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. ∙

research

∙ 11/05/2021

Grounded Graph Decoding Improves Compositional Generalization in Question Answering

Question answering models struggle to generalize to novel compositions o...

16 Yu Gai, et al. ∙

research

∙ 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. ∙

research

∙ 09/23/2021

Zero-Shot Information Extraction as a Unified Text-to-Triple Translation

We cast a suite of information extraction tasks into a text-to-triple tr...

0 Chenguang Wang, et al. ∙

research

∙ 09/11/2021

RobustART: Benchmarking Robustness on Architecture Design and Training Techniques

Deep neural networks (DNNs) are vulnerable to adversarial noises, which ...

4 Shiyu Tang, et al. ∙

research

∙ 06/29/2021

Latent Execution for Neural Program Synthesis Beyond Domain-Specific Languages

Program synthesis from input-output examples has been a long-standing ch...

3 Xinyun Chen, et al. ∙

research

∙ 05/30/2021

FED-χ^2: Privacy Preserving Federated Correlation Test

In this paper, we propose the first secure federated χ^2-test protocol F...

0 Lun Wang, et al. ∙

research

∙ 05/26/2021

Differentially Private Frequency Moments Estimation with Polylogarithmic Space

We prove that 𝔽_p sketch, a well-celebrated streaming algorithm for freq...

0 Lun Wang, et al. ∙

research

∙ 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. ∙

research

∙ 05/02/2021

BACKDOORL: Backdoor Attack against Competitive Reinforcement Learning

Recent research has confirmed the feasibility of backdoor attacks in dee...

0 Lun Wang, et al. ∙

research

∙ 03/30/2021

Model-Contrastive Federated Learning

Federated learning enables multiple parties to collaboratively train a m...

0 Qinbin Li, et al. ∙

Dawn Song

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