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.

Search paper metadata (including unsummarized papers)

2,641 to 2,700 of 4,576

Secure estimation and control for cyber-physical systems under adversarial attacks
Hamza Fawzi, Paulo Tabuada, Suhas Diggavi
math.OCcs.CRcs.ITarXiv:1205.5073v12012
threaTrace: Detecting and Tracing Host-based Threats in Node Level Through Provenance Graph Learning
Su Wang, Zhiliang Wang, Tao Zhou +6
cs.CRcs.LGarXiv:2111.04333v12021
Security and Privacy Issues in Cloud Computing
Jaydip Sen
cs.CRcs.NIarXiv:1303.4814v12013
Boosting the Accuracy of Differentially-Private Histograms Through Consistency
Michael Hay, Vibhor Rastogi, Gerome Miklau +1
cs.DBcs.CRarXiv:0904.0942v52009
Workspace Topology as an Attack Vector in Agentic Coding Assistants
Alexandre G. R. Day, Pradeep Yadlapalli, Sriram Venkatapathy +9
cs.CRcs.AIcs.CLarXiv:2608.14876v12026
Do Vision-Language Models Respect Contextual Integrity in Location Disclosure?
Ruixin Yang, Ethan Mendes, Arthur Wang +4
cs.CRcs.AIarXiv:2602.05023v22026
Understanding and Improving Fast Adversarial Training
Maksym Andriushchenko, Nicolas Flammarion
cs.LGcs.CRcs.CVarXiv:2007.02617v22020
A Pseudo DNA Cryptography Method
Kang Ning
cs.CRcs.DMarXiv:0903.2693v12009
Understanding the Security Boundary of Obfuscation-based On-Device LLM Protection
Hanyi Zhou, Chenyang Li, Yuanzhe Pang +3
cs.CRarXiv:2609.10117v22026
WaveFake: A Data Set to Facilitate Audio Deepfake Detection
Joel Frank, Lea Schönherr
cs.LGcs.CRcs.SDarXiv:2111.02813v12021
Context-Aware Generative Adversarial Privacy
Chong Huang, Peter Kairouz, Xiao Chen +2
cs.LGcs.AIcs.CRarXiv:1710.09549v32017
ZOO: Zeroth Order Optimization based Black-box Attacks to Deep Neural Networks without Training Substitute Models
Pin-Yu Chen, Huan Zhang, Yash Sharma +2
stat.MLcs.CRcs.LGarXiv:1708.03999v22017
Certifiable Robustness to Graph Perturbations
Aleksandar Bojchevski, Stephan Günnemann
cs.LGcs.CRcs.SIarXiv:1910.14356v22019
VeriSmart: A Highly Precise Safety Verifier for Ethereum Smart Contracts
Sunbeom So, Myungho Lee, Jisu Park +2
cs.PLcs.CRarXiv:1908.11227v22019
Clustered Federated Learning Architecture for Network Anomaly Detection in Large Scale Heterogeneous IoT Networks
Xabier Sáez-de-Cámara, Jose Luis Flores, Cristóbal Arellano +2
cs.CRarXiv:2303.15986v22023
Autonomous Vehicle: Security by Design
Anupam Chattopadhyay, Kwok-Yan Lam
cs.CRarXiv:1810.00545v12018
Privacy Amplification by Subsampling: Tight Analyses via Couplings and Divergences
Borja Balle, Gilles Barthe, Marco Gaboardi
cs.LGcs.CRstat.MLarXiv:1807.01647v22018
AVClass2: Massive Malware Tag Extraction from AV Labels
Silvia Sebastián, Juan Caballero
cs.CRarXiv:2006.10615v22020
SWIFT: Super-fast and Robust Privacy-Preserving Machine Learning
Nishat Koti, Mahak Pancholi, Arpita Patra +1
cs.CRcs.LGarXiv:2005.10296v32020
Federated Learning for 6G Communications: Challenges, Methods, and Future Directions
Yi Liu, Xingliang Yuan, Zehui Xiong +3
cs.NIcs.CRcs.LGarXiv:2006.02931v22020
Mitigating Evasion Attacks to Deep Neural Networks via Region-based Classification
Xiaoyu Cao, Neil Zhenqiang Gong
cs.CRcs.LGstat.MLarXiv:1709.05583v42017
Privacy-Preserving Access of Outsourced Data via Oblivious RAM Simulation
Michael T. Goodrich, Michael Mitzenmacher
cs.DScs.CRcs.DCarXiv:1007.1259v22010
Slither: A Static Analysis Framework For Smart Contracts
Josselin Feist, Gustavo Grieco, Alex Groce
cs.SEcs.CRarXiv:1908.09878v12019
BadRAG: Identifying Vulnerabilities in Retrieval Augmented Generation of Large Language Models
Jiaqi Xue, Mengxin Zheng, Yebowen Hu +3
cs.CRcs.AIcs.CLarXiv:2406.00083v22024
CT-GAN: Malicious Tampering of 3D Medical Imagery using Deep Learning
Yisroel Mirsky, Tom Mahler, Ilan Shelef +1
cs.CRcs.CVcs.LGarXiv:1901.03597v32019
Towards Robust LiDAR-based Perception in Autonomous Driving: General Black-box Adversarial Sensor Attack and Countermeasures
Jiachen Sun, Yulong Cao, Qi Alfred Chen +1
cs.CRcs.CVcs.LGarXiv:2006.16974v12020
Helen: Maliciously Secure Coopetitive Learning for Linear Models
Wenting Zheng, Raluca Ada Popa, Joseph E. Gonzalez +1
cs.CRcs.LGarXiv:1907.07212v22019
Machine Unlearning for Large Language Models: Foundations, Advances, and Agentic Extensions
Xiaoyu Xu, Minxin Du, Li Bai +8
cs.CRarXiv:2609.30909v12026
Epione: Lightweight Contact Tracing with Strong Privacy
Ni Trieu, Kareem Shehata, Prateek Saxena +2
cs.CRarXiv:2004.13293v32020
Adversarial Attacks on Deep Neural Networks for Time Series Classification
Hassan Ismail Fawaz, Germain Forestier, Jonathan Weber +2
cs.LGcs.CRstat.MLarXiv:1903.07054v22019
Local Differential Privacy based Federated Learning for Internet of Things
Yang Zhao, Jun Zhao, Mengmeng Yang +5
cs.CRcs.LGarXiv:2004.08856v22020
Cyber-Electromagnetic Anomaly Detection Through Time-Series Analysis
María Teresa Guillén Navarro, Juan Luis Serradilla Tormos, Sergio López Bernal +2
cs.CRarXiv:2608.27043v12026
Data Poisoning against Differentially-Private Learners: Attacks and Defenses
Yuzhe Ma, Xiaojin Zhu, Justin Hsu
cs.LGcs.CRarXiv:1903.09860v22019
Individual Differential Privacy: A Utility-Preserving Formulation of Differential Privacy Guarantees
Jordi Soria-Comas, Josep Domingo-Ferrer, David Sánchez +1
cs.CRarXiv:1612.02298v22016
Policy Teaching via Environment Poisoning: Training-time Adversarial Attacks against Reinforcement Learning
Amin Rakhsha, Goran Radanovic, Rati Devidze +2
cs.LGcs.AIcs.CRarXiv:2003.12909v22020
MemGuard: Defending against Black-Box Membership Inference Attacks via Adversarial Examples
Jinyuan Jia, Ahmed Salem, Michael Backes +2
cs.CRcs.LGarXiv:1909.10594v32019
Apps Gone Rogue: Maintaining Personal Privacy in an Epidemic
Ramesh Raskar, Isabel Schunemann, Rachel Barbar +29
cs.CRcs.CYcs.DCarXiv:2003.08567v22020
Optimizing Histogram Queries under Differential Privacy
Chao Li, Michael Hay, Vibhor Rastogi +2
cs.DBcs.CRarXiv:0912.4742v22009
Astraea: A Decentralized Blockchain Oracle
John Adler, Ryan Berryhill, Andreas Veneris +3
cs.CRarXiv:1808.00528v12018
ASPIRE: Agentic Safety & Prompt Injection Red-teaming Engine
Pengfei He, Deep Mitra, Vishesh Sharma +4
cs.CRarXiv:2610.08951v12026
A Comprehensive Review of One-Pixel Attack: Research Status, Taxonomy, Applications, Regulation Policy and Future Directions
Mirza Niaz Morshed, Md. Masudul Islam, Galib Muhammad Shahriar Himel +3
cs.CRcs.CVarXiv:2610.00125v12026
Beyond Vector Hiding: Breaking and Mitigating Shared-Direction Weight Obfuscation in TEE-Offloaded Large Language Models
Menghui Zhang, Aoying Zheng, Guoxiao Liu +4
cs.CRarXiv:2608.26651v12026
Twitter Bot Detection Using Bidirectional Long Short-term Memory Neural Networks and Word Embeddings
Feng Wei, Uyen Trang Nguyen
cs.CRcs.CLcs.LGarXiv:2002.01336v12020
Security of the Fiat-Shamir Transformation in the Quantum Random-Oracle Model
Jelle Don, Serge Fehr, Christian Majenz +1
cs.CRquant-pharXiv:1902.07556v42019
EMBER: An Open Dataset for Training Static PE Malware Machine Learning Models
Hyrum S. Anderson, Phil Roth
cs.CRarXiv:1804.04637v22018
HARP: Measuring Harm Amplification in Multi-Agent LLM Systems
Md Hafizur Rahman, Zafaryab Haider, Tanzim Mahfuz +1
cs.CRcs.AIcs.LGarXiv:2605.27489v12026
Architecture and Security of SCADA Systems: A Review
Geeta Yadav, Kolin Paul
cs.CRcs.DCarXiv:2001.02925v12020
Adversarial Neuron Pruning Purifies Backdoored Deep Models
Dongxian Wu, Yisen Wang
cs.LGcs.CRcs.CVarXiv:2110.14430v12021
The Art of The Scam: Demystifying Honeypots in Ethereum Smart Contracts
Christof Ferreira Torres, Mathis Steichen, Radu State
cs.CRarXiv:1902.06976v22019
Benchmarking Robustness of 3D Object Detection to Common Corruptions in Autonomous Driving
Yinpeng Dong, Caixin Kang, Jinlai Zhang +6
cs.CVcs.AIcs.CRarXiv:2303.11040v12023
Automatic Software Repair: a Bibliography
Martin Monperrus
cs.SEcs.CRcs.PLarXiv:1807.00515v12018
Faster computation of isogenies of large prime degree
Daniel Bernstein, Luca de Feo, Antonin Leroux +1
cs.CRmath.NTarXiv:2003.10118v12020
Privacy and Data Protection by Design - from policy to engineering
George Danezis, Josep Domingo-Ferrer, Marit Hansen +4
cs.CRarXiv:1501.03726v22015
Parallel Distributed Logistic Regression for Vertical Federated Learning without Third-Party Coordinator
Shengwen Yang, Bing Ren, Xuhui Zhou +1
cs.LGcs.CRcs.DCarXiv:1911.09824v12019
Are Diffusion Models Vulnerable to Membership Inference Attacks?
Jinhao Duan, Fei Kong, Shiqi Wang +2
cs.CVcs.AIcs.CRarXiv:2302.01316v22023
Security Services Using Blockchains: A State of the Art Survey
Tara Salman, Maede Zolanvari, Aiman Erbad +2
cs.CRarXiv:1810.08735v12018
CS-Guard: Benchmarking LLM Guardrails for Code Generation Security
Jinyang Li, Mingyu Guo, Hung X. Nguyen
cs.CRcs.AIarXiv:2609.09798v12026
Performance Comparison of Intrusion Detection Systems and Application of Machine Learning to Snort System
Syed Ali Raza Shah, Biju Issac
cs.NIcs.CRcs.LGarXiv:1710.04843v22017
Characterizing Adversarial Subspaces Using Local Intrinsic Dimensionality
Xingjun Ma, Bo Li, Yisen Wang +6
cs.LGcs.CRcs.CVarXiv:1801.02613v32018
A Smart Home is No Castle: Privacy Vulnerabilities of Encrypted IoT Traffic
Noah Apthorpe, Dillon Reisman, Nick Feamster
cs.CRarXiv:1705.06805v12017

Cryptography and Security

Secure estimation and control for cyber-physical systems under adversarial attacks

threaTrace: Detecting and Tracing Host-based Threats in Node Level Through Provenance Graph Learning

Security and Privacy Issues in Cloud Computing

Boosting the Accuracy of Differentially-Private Histograms Through Consistency

Workspace Topology as an Attack Vector in Agentic Coding Assistants

Do Vision-Language Models Respect Contextual Integrity in Location Disclosure?

Understanding and Improving Fast Adversarial Training

A Pseudo DNA Cryptography Method

Understanding the Security Boundary of Obfuscation-based On-Device LLM Protection

WaveFake: A Data Set to Facilitate Audio Deepfake Detection

Context-Aware Generative Adversarial Privacy

ZOO: Zeroth Order Optimization based Black-box Attacks to Deep Neural Networks without Training Substitute Models

Certifiable Robustness to Graph Perturbations

VeriSmart: A Highly Precise Safety Verifier for Ethereum Smart Contracts

Clustered Federated Learning Architecture for Network Anomaly Detection in Large Scale Heterogeneous IoT Networks

Autonomous Vehicle: Security by Design

Privacy Amplification by Subsampling: Tight Analyses via Couplings and Divergences

AVClass2: Massive Malware Tag Extraction from AV Labels

SWIFT: Super-fast and Robust Privacy-Preserving Machine Learning

Federated Learning for 6G Communications: Challenges, Methods, and Future Directions

Mitigating Evasion Attacks to Deep Neural Networks via Region-based Classification

Privacy-Preserving Access of Outsourced Data via Oblivious RAM Simulation

Slither: A Static Analysis Framework For Smart Contracts

BadRAG: Identifying Vulnerabilities in Retrieval Augmented Generation of Large Language Models

CT-GAN: Malicious Tampering of 3D Medical Imagery using Deep Learning

Towards Robust LiDAR-based Perception in Autonomous Driving: General Black-box Adversarial Sensor Attack and Countermeasures

Helen: Maliciously Secure Coopetitive Learning for Linear Models

Machine Unlearning for Large Language Models: Foundations, Advances, and Agentic Extensions

Epione: Lightweight Contact Tracing with Strong Privacy

Adversarial Attacks on Deep Neural Networks for Time Series Classification

Local Differential Privacy based Federated Learning for Internet of Things

Cyber-Electromagnetic Anomaly Detection Through Time-Series Analysis

Data Poisoning against Differentially-Private Learners: Attacks and Defenses

Individual Differential Privacy: A Utility-Preserving Formulation of Differential Privacy Guarantees

Policy Teaching via Environment Poisoning: Training-time Adversarial Attacks against Reinforcement Learning

MemGuard: Defending against Black-Box Membership Inference Attacks via Adversarial Examples

Apps Gone Rogue: Maintaining Personal Privacy in an Epidemic

Optimizing Histogram Queries under Differential Privacy

Astraea: A Decentralized Blockchain Oracle

ASPIRE: Agentic Safety & Prompt Injection Red-teaming Engine

A Comprehensive Review of One-Pixel Attack: Research Status, Taxonomy, Applications, Regulation Policy and Future Directions

Beyond Vector Hiding: Breaking and Mitigating Shared-Direction Weight Obfuscation in TEE-Offloaded Large Language Models

Twitter Bot Detection Using Bidirectional Long Short-term Memory Neural Networks and Word Embeddings

Security of the Fiat-Shamir Transformation in the Quantum Random-Oracle Model

EMBER: An Open Dataset for Training Static PE Malware Machine Learning Models

HARP: Measuring Harm Amplification in Multi-Agent LLM Systems

Architecture and Security of SCADA Systems: A Review

Adversarial Neuron Pruning Purifies Backdoored Deep Models

The Art of The Scam: Demystifying Honeypots in Ethereum Smart Contracts

Benchmarking Robustness of 3D Object Detection to Common Corruptions in Autonomous Driving

Automatic Software Repair: a Bibliography

Faster computation of isogenies of large prime degree

Privacy and Data Protection by Design - from policy to engineering

Parallel Distributed Logistic Regression for Vertical Federated Learning without Third-Party Coordinator

Are Diffusion Models Vulnerable to Membership Inference Attacks?

Security Services Using Blockchains: A State of the Art Survey

CS-Guard: Benchmarking LLM Guardrails for Code Generation Security

Performance Comparison of Intrusion Detection Systems and Application of Machine Learning to Snort System

Characterizing Adversarial Subspaces Using Local Intrinsic Dimensionality

A Smart Home is No Castle: Privacy Vulnerabilities of Encrypted IoT Traffic