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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1,501 to 1,560 of 2,561

Privacy-Preserving Group Data Access via Stateless Oblivious RAM Simulation
Michael T. Goodrich, Michael Mitzenmacher, Olga Ohrimenko +1
cs.CRarXiv:1105.4125v12011
Security and Privacy Issues in Cloud Computing
Jaydip Sen
cs.CRcs.NIarXiv:1303.4814v12013
Understanding and Mitigating Copying in Diffusion Models
Gowthami Somepalli, Vasu Singla, Micah Goldblum +2
cs.LGcs.CRcs.CVarXiv:2305.20086v12023
Be Selfish and Avoid Dilemmas: Fork After Withholding (FAW) Attacks on Bitcoin
Yujin Kwon, Dohyun Kim, Yunmok Son +2
cs.CRarXiv:1708.09790v12017
An End-To-End Encrypted Cache System with Time-Dependent Access Control
Keita Emura, Masato Yoshimi
cs.CRcs.NIarXiv:2302.11292v12023
Privacy-Preserving Detection of Rare Disease-Associated Cell Subsets via Secure Multi-Party Computation
Ş. Selcan Magara, Esther Havemann, Debora Jutz +2
cs.CRcs.LGarXiv:2608.20118v12026
Defense Against Adversarial Attacks Using Feature Scattering-based Adversarial Training
Haichao Zhang, Jianyu Wang
cs.CVcs.CRcs.LGarXiv:1907.10764v42019
Shield: Fast, Practical Defense and Vaccination for Deep Learning using JPEG Compression
Nilaksh Das, Madhuri Shanbhogue, Shang-Tse Chen +5
cs.CVcs.AIcs.CRarXiv:1802.06816v12018
IRIS: LLM-Assisted Static Analysis for Detecting Security Vulnerabilities
Ziyang Li, Saikat Dutta, Mayur Naik
cs.CRcs.PLcs.SEarXiv:2405.17238v32024
Detecting Adversarial Image Examples in Deep Networks with Adaptive Noise Reduction
Bin Liang, Hongcheng Li, Miaoqiang Su +3
cs.CRcs.LGarXiv:1705.08378v52017
Realtime Robust Malicious Traffic Detection via Frequency Domain Analysis
Chuanpu Fu, Qi Li, Meng Shen +1
cs.CRcs.LGarXiv:2106.14707v32021
Demon in the Variant: Statistical Analysis of DNNs for Robust Backdoor Contamination Detection
Di Tang, XiaoFeng Wang, Haixu Tang +1
cs.CRarXiv:1908.00686v22019
FedRolex: Model-Heterogeneous Federated Learning with Rolling Sub-Model Extraction
Samiul Alam, Luyang Liu, Ming Yan +1
cs.LGcs.CRcs.CVarXiv:2212.01548v22022
Adversarial Unlearning of Backdoors via Implicit Hypergradient
Yi Zeng, Si Chen, Won Park +3
cs.LGcs.CRcs.CVarXiv:2110.03735v42021
Settling Payments Fast and Private: Efficient Decentralized Routing for Path-Based Transactions
Stefanie Roos, Pedro Moreno-Sanchez, Aniket Kate +1
cs.CRcs.DCarXiv:1709.05748v22017
RAPTOR: Routing Attacks on Privacy in Tor
Yixin Sun, Anne Edmundson, Laurent Vanbever +4
cs.NIcs.CRarXiv:1503.03940v12015
Vulnerability Analysis and Consequences of False Data Injection Attack on Power System State Estimation
Jingwen Liang, Lalitha Sankar, Oliver Kosut
eess.SYcs.CRarXiv:1506.03774v12015
Towards Practical Oblivious RAM
Emil Stefanov, Elaine Shi, Dawn Song
cs.CRarXiv:1106.3652v52011
CryptGPU: Fast Privacy-Preserving Machine Learning on the GPU
Sijun Tan, Brian Knott, Yuan Tian +1
cs.CRcs.LGarXiv:2104.10949v12021
Differentially Private Combinatorial Optimization
Anupam Gupta, Katrina Ligett, Frank McSherry +2
cs.DScs.CRcs.GTarXiv:0903.4510v22009
A Review on Blockchain Technologies for an Advanced and Cyber-Resilient Automotive Industry
Paula Fraga-Lamas, Tiago M. Fernandez-Carames
cs.CRarXiv:2402.00954v12024
Relaxed Sender Anonymity for CBDC Interbank Settlement: A Zero-Knowledge Approach on Permissioned EVM
Pietro Tiberi, Gabriele Marcelli, Vitangelo Lasorella
cs.CRcs.DCarXiv:2608.28529v12026
Recognition Without Enforcement: Configuration-Dependent Failures in LLM Agent Instruction Arbitration and External Control
Jun Wen Leong
cs.CRarXiv:2608.28502v12026
Offline-Verifiable Accountability for Cross-Organization Agent Messaging: A Preserved Evidence-Bundle Approach
Adil Alshammari, Hayretdin Bahsi
cs.CRcs.MAarXiv:2608.28542v12026
Revisiting Continuous Noise Sampling for Multi-Party Differential Privacy
Yucheng Fu, Tianhao Wang
cs.CRarXiv:2608.27766v12026
Deep Learning with Gaussian Differential Privacy
Zhiqi Bu, Jinshuo Dong, Qi Long +1
cs.LGcs.CRstat.MLarXiv:1911.11607v32019
False-CSI Attacks in Power-Domain NOMA for 6G: A Threat Taxonomy and System-Level Impacts
Samira Jafarli, Aysha Ebrahim, Suleyman Uludag
cs.CReess.SParXiv:2608.28351v12026
When Verified Source Becomes Attack Input: Defending Smart Contracts Against LLM-Based Vulnerability Scanning
Mingyuan Huang, Zimo Ji, Yifan Mo +1
cs.CRcs.SEarXiv:2608.28400v12026
On the Security of the Automatic Dependent Surveillance-Broadcast Protocol
Martin Strohmeier, Vincent Lenders, Ivan Martinovic
cs.CRcs.NIarXiv:1307.3664v22013
DroidAnalytics: A Signature Based Analytic System to Collect, Extract, Analyze and Associate Android Malware
Min Zheng, Mingshen Sun, John C. S. Lui
cs.CRarXiv:1302.7212v42013
MagNet and "Efficient Defenses Against Adversarial Attacks" are Not Robust to Adversarial Examples
Nicholas Carlini, David Wagner
cs.LGcs.AIcs.CRarXiv:1711.08478v12017
The Right to be Forgotten in Federated Learning: An Efficient Realization with Rapid Retraining
Yi Liu, Lei Xu, Xingliang Yuan +2
cs.CRcs.LGarXiv:2203.07320v12022
Practical and Private (Deep) Learning without Sampling or Shuffling
Peter Kairouz, Brendan McMahan, Shuang Song +3
cs.CRcs.LGarXiv:2103.00039v32021
On the cryptanalysis of Fridrich's chaotic image encryption scheme
Eric Yong Xie, Chengqing Li, Simin Yu +1
cs.CRarXiv:1609.05352v22016
REPLICANT: Learning Policies for Evading and Hardening Malware Detectors
Shae McFadden, Ilias Tsingenopoulos, Mario D'Onghia +5
cs.LGcs.CRarXiv:2608.28499v12026
Spying on the Smart Home: Privacy Attacks and Defenses on Encrypted IoT Traffic
Noah Apthorpe, Dillon Reisman, Srikanth Sundaresan +2
cs.CRarXiv:1708.05044v12017
NetSpectre: Read Arbitrary Memory over Network
Michael Schwarz, Martin Schwarzl, Moritz Lipp +1
cs.CRarXiv:1807.10535v12018
BEACON: Behavior-Anchored Cross-Source Knowledge Graph Construction for Cyber Threat Intelligence
Changze Li, Yutong Cheng, Tsania Camila Finnisa +3
cs.CRcs.CLarXiv:2608.28394v12026
In-Context Unlearning: Language Models as Few Shot Unlearners
Martin Pawelczyk, Seth Neel, Himabindu Lakkaraju
cs.LGcs.AIcs.CRarXiv:2310.07579v42023
CamoDocs: A Poisoning Attack Against Retrieval-Augmented Language Models Using Camouflaged Documents
Jaewon Jung, Haizhong Zheng, Hongsun Jang +3
cs.CRcs.CLarXiv:2608.28389v12026
VR-Themis: A Scalable Framework for Virtual Reality Application Clone Detection
Gengyang Xu, Hanyang Guo, Hong-Ning Dai +1
cs.CRcs.SEarXiv:2608.13290v12026
Systematic Classification of Side-Channel Attacks: A Case Study for Mobile Devices
Raphael Spreitzer, Veelasha Moonsamy, Thomas Korak +1
cs.CRarXiv:1611.03748v32016
Towards an autonomous industry 4.0 warehouse: A UAV and blockchain-based system for inventory and traceability applications in big data-driven supply chain management
Tiago M. Fernandez-Carames, Oscar Blanco-Novoa, Ivan Froiz-Miguez +1
cs.CRcs.CYarXiv:2402.00709v12024
A Study of MAC Address Randomization in Mobile Devices and When it Fails
Jeremy Martin, Travis Mayberry, Collin Donahue +5
cs.CRarXiv:1703.02874v22017
MasterKey: Automated Jailbreak Across Multiple Large Language Model Chatbots
Gelei Deng, Yi Liu, Yuekang Li +6
cs.CRarXiv:2307.08715v22023
Memorization Is Not Extraction: Tight Differential-Privacy Bounds and Audit Blind Spots
Xujun Che, Depeng Xu, Shuhan Yuan
cs.CRcs.CLcs.LGarXiv:2608.27782v12026
Time-Optimal Interactive Proofs for Circuit Evaluation
Justin Thaler
cs.CRcs.CCcs.DSarXiv:1304.3812v42013
Can Tainted Pixels Expose Deepfake Videos?
Juan Hu, Shaojing Fan, Sanjay Saha +2
cs.CRcs.CVarXiv:2608.27492v12026
JailBreakV: A Benchmark for Assessing the Robustness of MultiModal Large Language Models against Jailbreak Attacks
Weidi Luo, Siyuan Ma, Xiaogeng Liu +2
cs.CRcs.AIcs.CLarXiv:2404.03027v42024
SAFE: Self-Attentive Function Embeddings for Binary Similarity
Luca Massarelli, Giuseppe Antonio Di Luna, Fabio Petroni +2
cs.CRcs.LGarXiv:1811.05296v42018
Predicting Domain Generation Algorithms with Long Short-Term Memory Networks
Jonathan Woodbridge, Hyrum S. Anderson, Anjum Ahuja +1
cs.CRcs.AIarXiv:1611.00791v12016
Soteria: Automated IoT Safety and Security Analysis
Z. Berkay Celik, Patrick McDaniel, Gang Tan
cs.CReess.SYarXiv:1805.08876v12018
Proof of Luck: an Efficient Blockchain Consensus Protocol
Mitar Milutinovic, Warren He, Howard Wu +1
cs.CRcs.DCarXiv:1703.05435v12017
eBPF-Based Cybersecurity Mechanisms: A Systematic Literature Review
Stamatios Kostopoulos, Panagiotis Tsakonas, Evangelos K. Markakis
cs.CRarXiv:2608.27511v12026
Thieves on Sesame Street! Model Extraction of BERT-based APIs
Kalpesh Krishna, Gaurav Singh Tomar, Ankur P. Parikh +2
cs.CLcs.CRcs.LGarXiv:1910.12366v32019
High-Frequency Trading on Decentralized On-Chain Exchanges
Liyi Zhou, Kaihua Qin, Christof Ferreira Torres +2
cs.CRarXiv:2009.14021v12020
Fully Unleashing the Multimodal Attacker: Meta-Adaptive Jailbreaking of Vision-Language Models
Benlei Cui, Shen Pang, Yuke Wang +7
cs.CRcs.CVarXiv:2608.27531v12026
Experimental quantum key distribution certified by Bell's theorem
D. P. Nadlinger, P. Drmota, B. C. Nichol +12
quant-phcs.CRarXiv:2109.14600v22021
Privacy Preserving Vertical Federated Learning for Tree-based Models
Yuncheng Wu, Shaofeng Cai, Xiaokui Xiao +2
cs.CRcs.LGarXiv:2008.06170v12020
Can LLMs Keep a Secret? Testing Privacy Implications of Language Models via Contextual Integrity Theory
Niloofar Mireshghallah, Hyunwoo Kim, Xuhui Zhou +4
cs.AIcs.CLcs.CRarXiv:2310.17884v22023

Cryptography and Security

Privacy-Preserving Group Data Access via Stateless Oblivious RAM Simulation

Security and Privacy Issues in Cloud Computing

Understanding and Mitigating Copying in Diffusion Models

Be Selfish and Avoid Dilemmas: Fork After Withholding (FAW) Attacks on Bitcoin

An End-To-End Encrypted Cache System with Time-Dependent Access Control

Privacy-Preserving Detection of Rare Disease-Associated Cell Subsets via Secure Multi-Party Computation

Defense Against Adversarial Attacks Using Feature Scattering-based Adversarial Training

Shield: Fast, Practical Defense and Vaccination for Deep Learning using JPEG Compression

IRIS: LLM-Assisted Static Analysis for Detecting Security Vulnerabilities

Detecting Adversarial Image Examples in Deep Networks with Adaptive Noise Reduction

Realtime Robust Malicious Traffic Detection via Frequency Domain Analysis

Demon in the Variant: Statistical Analysis of DNNs for Robust Backdoor Contamination Detection

FedRolex: Model-Heterogeneous Federated Learning with Rolling Sub-Model Extraction

Adversarial Unlearning of Backdoors via Implicit Hypergradient

Settling Payments Fast and Private: Efficient Decentralized Routing for Path-Based Transactions

RAPTOR: Routing Attacks on Privacy in Tor

Vulnerability Analysis and Consequences of False Data Injection Attack on Power System State Estimation

Towards Practical Oblivious RAM

CryptGPU: Fast Privacy-Preserving Machine Learning on the GPU

Differentially Private Combinatorial Optimization

A Review on Blockchain Technologies for an Advanced and Cyber-Resilient Automotive Industry

Relaxed Sender Anonymity for CBDC Interbank Settlement: A Zero-Knowledge Approach on Permissioned EVM

Recognition Without Enforcement: Configuration-Dependent Failures in LLM Agent Instruction Arbitration and External Control

Offline-Verifiable Accountability for Cross-Organization Agent Messaging: A Preserved Evidence-Bundle Approach

Revisiting Continuous Noise Sampling for Multi-Party Differential Privacy

Deep Learning with Gaussian Differential Privacy

False-CSI Attacks in Power-Domain NOMA for 6G: A Threat Taxonomy and System-Level Impacts

When Verified Source Becomes Attack Input: Defending Smart Contracts Against LLM-Based Vulnerability Scanning

On the Security of the Automatic Dependent Surveillance-Broadcast Protocol

DroidAnalytics: A Signature Based Analytic System to Collect, Extract, Analyze and Associate Android Malware

MagNet and "Efficient Defenses Against Adversarial Attacks" are Not Robust to Adversarial Examples

The Right to be Forgotten in Federated Learning: An Efficient Realization with Rapid Retraining

Practical and Private (Deep) Learning without Sampling or Shuffling

On the cryptanalysis of Fridrich's chaotic image encryption scheme

REPLICANT: Learning Policies for Evading and Hardening Malware Detectors

Spying on the Smart Home: Privacy Attacks and Defenses on Encrypted IoT Traffic

NetSpectre: Read Arbitrary Memory over Network

BEACON: Behavior-Anchored Cross-Source Knowledge Graph Construction for Cyber Threat Intelligence

In-Context Unlearning: Language Models as Few Shot Unlearners

CamoDocs: A Poisoning Attack Against Retrieval-Augmented Language Models Using Camouflaged Documents

VR-Themis: A Scalable Framework for Virtual Reality Application Clone Detection

Systematic Classification of Side-Channel Attacks: A Case Study for Mobile Devices

Towards an autonomous industry 4.0 warehouse: A UAV and blockchain-based system for inventory and traceability applications in big data-driven supply chain management

A Study of MAC Address Randomization in Mobile Devices and When it Fails

MasterKey: Automated Jailbreak Across Multiple Large Language Model Chatbots

Memorization Is Not Extraction: Tight Differential-Privacy Bounds and Audit Blind Spots

Time-Optimal Interactive Proofs for Circuit Evaluation

Can Tainted Pixels Expose Deepfake Videos?

JailBreakV: A Benchmark for Assessing the Robustness of MultiModal Large Language Models against Jailbreak Attacks

SAFE: Self-Attentive Function Embeddings for Binary Similarity

Predicting Domain Generation Algorithms with Long Short-Term Memory Networks

Soteria: Automated IoT Safety and Security Analysis

Proof of Luck: an Efficient Blockchain Consensus Protocol

eBPF-Based Cybersecurity Mechanisms: A Systematic Literature Review

Thieves on Sesame Street! Model Extraction of BERT-based APIs

High-Frequency Trading on Decentralized On-Chain Exchanges

Fully Unleashing the Multimodal Attacker: Meta-Adaptive Jailbreaking of Vision-Language Models

Experimental quantum key distribution certified by Bell's theorem

Privacy Preserving Vertical Federated Learning for Tree-based Models

Can LLMs Keep a Secret? Testing Privacy Implications of Language Models via Contextual Integrity Theory