Cryptography and Security

Papers filed under cs.CR on arXiv, each one already summarized by Paperlayer. Open any of them to read the summary beside the original PDF, with every point linked to the line, figure, or table it came from.

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1,681 to 1,740 of 2,547

RowHammer: A Retrospective
Onur Mutlu, Jeremie S. Kim
cs.CRcs.ARarXiv:1904.09724v12019
Flash Boys 2.0: Frontrunning, Transaction Reordering, and Consensus Instability in Decentralized Exchanges
Philip Daian, Steven Goldfeder, Tyler Kell +5
cs.CRcs.GTarXiv:1904.05234v12019
Stack Overflow Considered Harmful? The Impact of Copy&Paste on Android Application Security
Felix Fischer, Konstantin Böttinger, Huang Xiao +4
cs.CRarXiv:1710.03135v12017
A Convex Relaxation Barrier to Tight Robustness Verification of Neural Networks
Hadi Salman, Greg Yang, Huan Zhang +2
cs.LGcs.AIcs.CRarXiv:1902.08722v52019
Enhancing Adversarial Example Transferability with an Intermediate Level Attack
Qian Huang, Isay Katsman, Horace He +3
cs.LGcs.CRcs.CVarXiv:1907.10823v32019
Automated Dynamic Analysis of Ransomware: Benefits, Limitations and use for Detection
Daniele Sgandurra, Luis Muñoz-González, Rabih Mohsen +1
cs.CRarXiv:1609.03020v12016
Jailbreak Attacks and Defenses Against Large Language Models: A Survey
Sibo Yi, Yule Liu, Zhen Sun +5
cs.CRcs.AIcs.CLarXiv:2407.04295v22024
Towards Practical Differential Privacy for SQL Queries
Noah Johnson, Joseph P. Near, Dawn Song
cs.CRcs.DBarXiv:1706.09479v52017
Glaze: Protecting Artists from Style Mimicry by Text-to-Image Models
Shawn Shan, Jenna Cryan, Emily Wenger +3
cs.CRarXiv:2302.04222v62023
TRRespass: Exploiting the Many Sides of Target Row Refresh
Pietro Frigo, Emanuele Vannacci, Hasan Hassan +5
cs.CRarXiv:2004.01807v12020
A bias-free quantum random number generation using photon arrival time selectively
Jian-min Wang, Tian-yu Xie, Hong-fei Zhang +3
quant-phcs.CRarXiv:1412.0171v22014
Cybersecurity for Industrial Control Systems: A Survey
Deval Bhamare, Maede Zolanvari, Aiman Erbad +3
cs.CRcs.NIeess.SYarXiv:2002.04124v12020
Adversary Instantiation: Lower Bounds for Differentially Private Machine Learning
Milad Nasr, Shuang Song, Abhradeep Thakurta +2
cs.LGcs.CRarXiv:2101.04535v12021
Privacy Risks of Securing Machine Learning Models against Adversarial Examples
Liwei Song, Reza Shokri, Prateek Mittal
stat.MLcs.CRcs.LGarXiv:1905.10291v32019
On Sampling, Anonymization, and Differential Privacy: Or, k-Anonymization Meets Differential Privacy
Ninghui Li, Wahbeh Qardaji, Dong Su
cs.CRarXiv:1101.2604v22011
Algorithmic Stability for Adaptive Data Analysis
Raef Bassily, Kobbi Nissim, Adam Smith +3
cs.LGcs.CRcs.DSarXiv:1511.02513v12015
Yes, Machine Learning Can Be More Secure! A Case Study on Android Malware Detection
Ambra Demontis, Marco Melis, Battista Biggio +6
cs.CRarXiv:1704.08996v12017
Differentially Private Distributed Optimization
Zhenqi Huang, Sayan Mitra, Nitin Vaidya
cs.CRcs.DCarXiv:1401.2596v12014
Improving Black-box Adversarial Attacks with a Transfer-based Prior
Shuyu Cheng, Yinpeng Dong, Tianyu Pang +2
cs.LGcs.CRcs.CVarXiv:1906.06919v32019
STC Antispoofing Systems for the ASVspoof2019 Challenge
Galina Lavrentyeva, Sergey Novoselov, Andzhukaev Tseren +3
cs.SDcs.CLcs.CRarXiv:1904.05576v12019
Entangled Watermarks as a Defense against Model Extraction
Hengrui Jia, Christopher A. Choquette-Choo, Varun Chandrasekaran +1
cs.CRstat.MLarXiv:2002.12200v22020
The Impact of Quantum Computing on Present Cryptography
Vasileios Mavroeidis, Kamer Vishi, Mateusz D. Zych +1
cs.CRarXiv:1804.00200v12018
A Semantic Framework for the Security Analysis of Ethereum smart contracts
Ilya Grishchenko, Matteo Maffei, Clara Schneidewind
cs.CRarXiv:1802.08660v22018
Taxonomy of Attacks on Open-Source Software Supply Chains
Piergiorgio Ladisa, Henrik Plate, Matias Martinez +1
cs.CRcs.SEarXiv:2204.04008v22022
Superion: Grammar-Aware Greybox Fuzzing
Junjie Wang, Bihuan Chen, Lei Wei +1
cs.CRcs.SEarXiv:1812.01197v32018
Physically Realizable Adversarial Examples for LiDAR Object Detection
James Tu, Mengye Ren, Siva Manivasagam +5
cs.CVcs.CRcs.LGarXiv:2004.00543v22020
Blockchain-enabled supply chain: An experimental study
Francesco Longo, Letizia Nicoletti, Antonio Padovano +2
cs.CRarXiv:2206.03867v12022
Large Language Models for Code: Security Hardening and Adversarial Testing
Jingxuan He, Martin Vechev
cs.CRcs.LGcs.PLarXiv:2302.05319v52023
Adversarial GLUE: A Multi-Task Benchmark for Robustness Evaluation of Language Models
Boxin Wang, Chejian Xu, Shuohang Wang +5
cs.CLcs.CRcs.LGarXiv:2111.02840v22021
Adversarial Attacks on Deep-Learning Based Radio Signal Classification
Meysam Sadeghi, Erik G. Larsson
cs.ITcs.CRcs.LGarXiv:1808.07713v12018
Membership Leakage in Label-Only Exposures
Zheng Li, Yang Zhang
cs.LGcs.CRstat.MLarXiv:2007.15528v32020
PassGAN: A Deep Learning Approach for Password Guessing
Briland Hitaj, Paolo Gasti, Giuseppe Ateniese +1
cs.CRcs.LGstat.MLarXiv:1709.00440v32017
Jailbreak in pieces: Compositional Adversarial Attacks on Multi-Modal Language Models
Erfan Shayegani, Yue Dong, Nael Abu-Ghazaleh
cs.CRcs.CLarXiv:2307.14539v22023
Sereum: Protecting Existing Smart Contracts Against Re-Entrancy Attacks
Michael Rodler, Wenting Li, Ghassan O. Karame +1
cs.CRarXiv:1812.05934v12018
Explainable Artificial Intelligence Applications in Cyber Security: State-of-the-Art in Research
Zhibo Zhang, Hussam Al Hamadi, Ernesto Damiani +2
cs.CRarXiv:2208.14937v12022
BadNL: Backdoor Attacks against NLP Models with Semantic-preserving Improvements
Xiaoyi Chen, Ahmed Salem, Dingfan Chen +5
cs.CRcs.LGarXiv:2006.01043v22020
Detecting Cyberattacks in Industrial Control Systems Using Convolutional Neural Networks
Moshe Kravchik, Asaf Shabtai
cs.CRcs.LGarXiv:1806.08110v22018
Automated Fact-Checking for Assisting Human Fact-Checkers
Preslav Nakov, David Corney, Maram Hasanain +6
cs.AIcs.CLcs.CRarXiv:2103.07769v22021
XONN: XNOR-based Oblivious Deep Neural Network Inference
M. Sadegh Riazi, Mohammad Samragh, Hao Chen +3
cs.CRarXiv:1902.07342v22019
Building a RAPPOR with the Unknown: Privacy-Preserving Learning of Associations and Data Dictionaries
Giulia Fanti, Vasyl Pihur, Úlfar Erlingsson
cs.CRarXiv:1503.01214v12015
Low Probability of Detection Communication: Opportunities and Challenges
Shihao Yan, Xiangyun Zhou, Jinsong Hu +1
cs.ITcs.CRcs.ETarXiv:1906.07895v22019
SLEUTH: Real-time Attack Scenario Reconstruction from COTS Audit Data
Md Nahid Hossain, Sadegh M Milajerdi, Junao Wang +5
cs.CRarXiv:1801.02062v12018
Red-Teaming the Stable Diffusion Safety Filter
Javier Rando, Daniel Paleka, David Lindner +2
cs.AIcs.CRcs.CVarXiv:2210.04610v52022
Learning from Untrusted Data
Moses Charikar, Jacob Steinhardt, Gregory Valiant
cs.LGcs.AIcs.CCarXiv:1611.02315v22016
Boosting the Accuracy of Differentially-Private Histograms Through Consistency
Michael Hay, Vibhor Rastogi, Gerome Miklau +1
cs.DBcs.CRarXiv:0904.0942v52009
Better Diffusion Models Further Improve Adversarial Training
Zekai Wang, Tianyu Pang, Chao Du +3
cs.CVcs.AIcs.CRarXiv:2302.04638v22023
Privacy and Data Protection by Design - from policy to engineering
George Danezis, Josep Domingo-Ferrer, Marit Hansen +4
cs.CRarXiv:1501.03726v22015
Peek-a-Boo: I see your smart home activities, even encrypted!
Abbas Acar, Hossein Fereidooni, Tigist Abera +6
cs.CRarXiv:1808.02741v22018
HybridAlpha: An Efficient Approach for Privacy-Preserving Federated Learning
Runhua Xu, Nathalie Baracaldo, Yi Zhou +2
cs.CRcs.LGarXiv:1912.05897v12019
Technical Report: When Does Machine Learning FAIL? Generalized Transferability for Evasion and Poisoning Attacks
Octavian Suciu, Radu Mărginean, Yiğitcan Kaya +2
cs.CRcs.LGarXiv:1803.06975v22018
PPFL: Privacy-preserving Federated Learning with Trusted Execution Environments
Fan Mo, Hamed Haddadi, Kleomenis Katevas +3
cs.CRcs.DCcs.LGarXiv:2104.14380v22021
Adversarial Attacks Against Automatic Speech Recognition Systems via Psychoacoustic Hiding
Lea Schönherr, Katharina Kohls, Steffen Zeiler +2
cs.CRcs.SDeess.ASarXiv:1808.05665v22018
Bullshark: DAG BFT Protocols Made Practical
Alexander Spiegelman, Neil Giridharan, Alberto Sonnino +1
cs.CRarXiv:2201.05677v32022
Survey on Federated Learning Threats: concepts, taxonomy on attacks and defences, experimental study and challenges
Nuria Rodríguez-Barroso, Daniel Jiménez López, M. Victoria Luzón +2
cs.CRcs.AIcs.LGarXiv:2201.08135v12022
Privacy Loss in Apple's Implementation of Differential Privacy on MacOS 10.12
Jun Tang, Aleksandra Korolova, Xiaolong Bai +2
cs.CRcs.CYcs.LGarXiv:1709.02753v22017
PromptRobust: Towards Evaluating the Robustness of Large Language Models on Adversarial Prompts
Kaijie Zhu, Jindong Wang, Jiaheng Zhou +8
cs.CLcs.CRcs.LGarXiv:2306.04528v52023
Artificial Fingerprinting for Generative Models: Rooting Deepfake Attribution in Training Data
Ning Yu, Vladislav Skripniuk, Sahar Abdelnabi +1
cs.CRcs.CVcs.CYarXiv:2007.08457v72020
C-FLAT: Control-FLow ATtestation for Embedded Systems Software
Tigist Abera, N. Asokan, Lucas Davi +5
cs.CRarXiv:1605.07763v22016
Stolen Memories: Leveraging Model Memorization for Calibrated White-Box Membership Inference
Klas Leino, Matt Fredrikson
cs.LGcs.CRstat.MLarXiv:1906.11798v22019
Making an Invisibility Cloak: Real World Adversarial Attacks on Object Detectors
Zuxuan Wu, Ser-Nam Lim, Larry Davis +1
cs.CVcs.CRcs.LGarXiv:1910.14667v22019

Cryptography and Security

RowHammer: A Retrospective

Flash Boys 2.0: Frontrunning, Transaction Reordering, and Consensus Instability in Decentralized Exchanges

Stack Overflow Considered Harmful? The Impact of Copy&Paste on Android Application Security

A Convex Relaxation Barrier to Tight Robustness Verification of Neural Networks

Enhancing Adversarial Example Transferability with an Intermediate Level Attack

Automated Dynamic Analysis of Ransomware: Benefits, Limitations and use for Detection

Jailbreak Attacks and Defenses Against Large Language Models: A Survey

Towards Practical Differential Privacy for SQL Queries

Glaze: Protecting Artists from Style Mimicry by Text-to-Image Models

TRRespass: Exploiting the Many Sides of Target Row Refresh

A bias-free quantum random number generation using photon arrival time selectively

Cybersecurity for Industrial Control Systems: A Survey

Adversary Instantiation: Lower Bounds for Differentially Private Machine Learning

Privacy Risks of Securing Machine Learning Models against Adversarial Examples

On Sampling, Anonymization, and Differential Privacy: Or, k-Anonymization Meets Differential Privacy

Algorithmic Stability for Adaptive Data Analysis

Yes, Machine Learning Can Be More Secure! A Case Study on Android Malware Detection

Differentially Private Distributed Optimization

Improving Black-box Adversarial Attacks with a Transfer-based Prior

STC Antispoofing Systems for the ASVspoof2019 Challenge

Entangled Watermarks as a Defense against Model Extraction

The Impact of Quantum Computing on Present Cryptography

A Semantic Framework for the Security Analysis of Ethereum smart contracts

Taxonomy of Attacks on Open-Source Software Supply Chains

Superion: Grammar-Aware Greybox Fuzzing

Physically Realizable Adversarial Examples for LiDAR Object Detection

Blockchain-enabled supply chain: An experimental study

Large Language Models for Code: Security Hardening and Adversarial Testing

Adversarial GLUE: A Multi-Task Benchmark for Robustness Evaluation of Language Models

Adversarial Attacks on Deep-Learning Based Radio Signal Classification

Membership Leakage in Label-Only Exposures

PassGAN: A Deep Learning Approach for Password Guessing

Jailbreak in pieces: Compositional Adversarial Attacks on Multi-Modal Language Models

Sereum: Protecting Existing Smart Contracts Against Re-Entrancy Attacks

Explainable Artificial Intelligence Applications in Cyber Security: State-of-the-Art in Research

BadNL: Backdoor Attacks against NLP Models with Semantic-preserving Improvements

Detecting Cyberattacks in Industrial Control Systems Using Convolutional Neural Networks

Automated Fact-Checking for Assisting Human Fact-Checkers

XONN: XNOR-based Oblivious Deep Neural Network Inference

Building a RAPPOR with the Unknown: Privacy-Preserving Learning of Associations and Data Dictionaries

Low Probability of Detection Communication: Opportunities and Challenges

SLEUTH: Real-time Attack Scenario Reconstruction from COTS Audit Data

Red-Teaming the Stable Diffusion Safety Filter

Learning from Untrusted Data

Boosting the Accuracy of Differentially-Private Histograms Through Consistency

Better Diffusion Models Further Improve Adversarial Training

Privacy and Data Protection by Design - from policy to engineering

Peek-a-Boo: I see your smart home activities, even encrypted!

HybridAlpha: An Efficient Approach for Privacy-Preserving Federated Learning

Technical Report: When Does Machine Learning FAIL? Generalized Transferability for Evasion and Poisoning Attacks

PPFL: Privacy-preserving Federated Learning with Trusted Execution Environments

Adversarial Attacks Against Automatic Speech Recognition Systems via Psychoacoustic Hiding

Bullshark: DAG BFT Protocols Made Practical

Survey on Federated Learning Threats: concepts, taxonomy on attacks and defences, experimental study and challenges

Privacy Loss in Apple's Implementation of Differential Privacy on MacOS 10.12

PromptRobust: Towards Evaluating the Robustness of Large Language Models on Adversarial Prompts

Artificial Fingerprinting for Generative Models: Rooting Deepfake Attribution in Training Data

C-FLAT: Control-FLow ATtestation for Embedded Systems Software

Stolen Memories: Leveraging Model Memorization for Calibrated White-Box Membership Inference

Making an Invisibility Cloak: Real World Adversarial Attacks on Object Detectors