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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1,381 to 1,440 of 2,547

BLAZE: Blazing Fast Privacy-Preserving Machine Learning
Arpita Patra, Ajith Suresh
cs.CRcs.LGarXiv:2005.09042v12020
RawBoost: A Raw Data Boosting and Augmentation Method applied to Automatic Speaker Verification Anti-Spoofing
Hemlata Tak, Madhu Kamble, Jose Patino +2
eess.AScs.CRcs.SDarXiv:2111.04433v22021
Poisoning Attacks to Graph-Based Recommender Systems
Minghong Fang, Guolei Yang, Neil Zhenqiang Gong +1
cs.IRcs.CRcs.LGarXiv:1809.04127v12018
BackdoorBench: A Comprehensive Benchmark of Backdoor Learning
Baoyuan Wu, Hongrui Chen, Mingda Zhang +4
cs.LGcs.CRarXiv:2206.12654v22022
A scalable verification solution for blockchains
Jason Teutsch, Christian Reitwießner
cs.CRecon.THarXiv:1908.04756v12019
Deep Pixel-wise Binary Supervision for Face Presentation Attack Detection
Anjith George, Sebastien Marcel
cs.CVcs.CRarXiv:1907.04047v12019
Graph Backdoor
Zhaohan Xi, Ren Pang, Shouling Ji +1
cs.LGcs.CRstat.MLarXiv:2006.11890v52020
The Safeguard Worked. Is the LLM System Safer?
Pingyu Wu, Weiming Zhang, Nenghai Yu
cs.CRcs.AIarXiv:2609.00519v12026
An Embarrassingly Simple Approach for Trojan Attack in Deep Neural Networks
Ruixiang Tang, Mengnan Du, Ninghao Liu +2
cs.CRcs.LGarXiv:2006.08131v22020
A General Framework for Adversarial Examples with Objectives
Mahmood Sharif, Sruti Bhagavatula, Lujo Bauer +1
cs.CVcs.CRarXiv:1801.00349v22017
Deep Learning for Insider Threat Detection: Review, Challenges and Opportunities
Shuhan Yuan, Xintao Wu
cs.CRcs.LGarXiv:2005.12433v12020
PhishDef: URL Names Say It All
Anh Le, Athina Markopoulou, Michalis Faloutsos
cs.CRcs.LGcs.NIarXiv:1009.2275v12010
WaveFake: A Data Set to Facilitate Audio Deepfake Detection
Joel Frank, Lea Schönherr
cs.LGcs.CRcs.SDarXiv:2111.02813v12021
[Extended version] Rethinking Deep Neural Network Ownership Verification: Embedding Passports to Defeat Ambiguity Attacks
Lixin Fan, Kam Woh Ng, Chee Seng Chan
cs.CRcs.CVcs.LGarXiv:1909.07830v32019
LSTM-Autoencoder based Anomaly Detection for Indoor Air Quality Time Series Data
Yuanyuan Wei, Julian Jang-Jaccard, Wen Xu +3
cs.LGcs.CRarXiv:2204.06701v12022
CT-GAN: Malicious Tampering of 3D Medical Imagery using Deep Learning
Yisroel Mirsky, Tom Mahler, Ilan Shelef +1
cs.CRcs.CVcs.LGarXiv:1901.03597v32019
VulBERTa: Simplified Source Code Pre-Training for Vulnerability Detection
Hazim Hanif, Sergio Maffeis
cs.CRcs.AIcs.LGarXiv:2205.12424v12022
On the Reliability of Watermarks for Large Language Models
John Kirchenbauer, Jonas Geiping, Yuxin Wen +7
cs.LGcs.CLcs.CRarXiv:2306.04634v42023
Balancing Privacy, Utility, and Safety in LLM Alignment through Preference Optimization
Dishu Yang, Jingjing Liu, Jize Li
cs.CRcs.LGarXiv:2608.30141v12026
A Simple Transformer Pipeline for Full-Key Side-Channel Attacks on Uncropped Datasets
Jimmy Gammell, Kaushik Roy
cs.CRcs.LGarXiv:2608.30105v12026
jTrans: Jump-Aware Transformer for Binary Code Similarity
Hao Wang, Wenjie Qu, Gilad Katz +5
cs.CRcs.SEarXiv:2205.12713v12022
Automated Dynamic Firmware Analysis at Scale: A Case Study on Embedded Web Interfaces
Andrei Costin, Apostolis Zarras, Aurélien Francillon
cs.CRcs.DCcs.NIarXiv:1511.03609v12015
Practical Whole-System Provenance Capture
Thomas Pasquier, Xueyuan Han, Mark Goldstein +4
cs.CRarXiv:1711.05296v12017
DDoSNet: A Deep-Learning Model for Detecting Network Attacks
Mahmoud Said Elsayed, Nhien-An Le-Khac, Soumyabrata Dev +1
cs.CRarXiv:2006.13981v12020
Stealing Links from Graph Neural Networks
Xinlei He, Jinyuan Jia, Michael Backes +2
cs.CRcs.LGarXiv:2005.02131v22020
How Unique and Traceable are Usernames?
Daniele Perito, Claude Castelluccia, Mohamed Ali Kaafar +1
cs.CRarXiv:1101.5578v32011
Poseidon: Mitigating Interest Flooding DDoS Attacks in Named Data Networking
Alberto Compagno, Mauro Conti, Paolo Gasti +1
cs.NIcs.CRarXiv:1303.4823v32013
Interference Assisted Secret Communication
Xiaojun Tang, Ruoheng Liu, Predrag Spasojevic +1
cs.ITcs.CRarXiv:0908.2397v12009
Federated Unlearning via Class-Discriminative Pruning
Junxiao Wang, Song Guo, Xin Xie +1
cs.CVcs.CRcs.DCarXiv:2110.11794v32021
Learning to Protect Communications with Adversarial Neural Cryptography
Martín Abadi, David G. Andersen
cs.CRcs.LGarXiv:1610.06918v12016
Cyber-Physical Energy Systems Security: Threat Modeling, Risk Assessment, Resources, Metrics, and Case Studies
Ioannis Zografopoulos, Juan Ospina, XiaoRui Liu +1
cs.CReess.SYarXiv:2101.10198v22021
Encryption-then-Compression Systems using Grayscale-based Image Encryption for JPEG Images
Tatsuya Chuman, Warit Sirichotedumrong, Hitoshi Kiya
cs.CRarXiv:1811.00236v12018
A Neural Network Architecture Combining Gated Recurrent Unit (GRU) and Support Vector Machine (SVM) for Intrusion Detection in Network Traffic Data
Abien Fred Agarap
cs.NEcs.CRcs.LGarXiv:1709.03082v82017
A Dependable Hybrid Machine Learning Model for Network Intrusion Detection
Md. Alamin Talukder, Khondokar Fida Hasan, Md. Manowarul Islam +5
cs.CRcs.LGarXiv:2212.04546v22022
DeepHammer: Depleting the Intelligence of Deep Neural Networks through Targeted Chain of Bit Flips
Fan Yao, Adnan Siraj Rakin, Deliang Fan
cs.CRcs.LGarXiv:2003.13746v12020
The Fragility of Jailbreak Robustness Across Operational States
Yuna Park, Hwang Youn Kim, Yujin Kim +3
cs.CRcs.CLarXiv:2608.30748v12026
SingProbe Technical Report
Sing Team
cs.CRcs.AIcs.CLarXiv:2608.30703v12026
Beyond the Payload: How User Invocation Shapes Coding Agent Vulnerability to Repository Poisoning
Fukang Zhu, Binbin Zhao, Ruixiao Lin +3
cs.CRcs.CLarXiv:2608.30686v12026
Fingerprinting Codes and the Price of Approximate Differential Privacy
Mark Bun, Jonathan Ullman, Salil Vadhan
cs.CRarXiv:1311.3158v32013
Technical Aspects of Cyber Kill Chain
Tarun Yadav, Rao Arvind Mallari
cs.NIcs.CRarXiv:1606.03184v12016
A Survey on Digital Twins: Architecture, Enabling Technologies, Security and Privacy, and Future Prospects
Yuntao Wang, Zhou Su, Shaolong Guo +3
cs.CRcs.NIarXiv:2301.13350v12023
On the Necessity of Auditable Algorithmic Definitions for Machine Unlearning
Anvith Thudi, Hengrui Jia, Ilia Shumailov +1
cs.LGcs.AIcs.CRarXiv:2110.11891v22021
Federated Variance-Reduced Stochastic Gradient Descent with Robustness to Byzantine Attacks
Zhaoxian Wu, Qing Ling, Tianyi Chen +1
cs.LGcs.AIcs.CRarXiv:1912.12716v22019
Simple data balancing achieves competitive worst-group-accuracy
Badr Youbi Idrissi, Martin Arjovsky, Mohammad Pezeshki +1
cs.LGcs.AIcs.CRarXiv:2110.14503v22021
Security for 4G and 5G Cellular Networks: A Survey of Existing Authentication and Privacy-preserving Schemes
Mohamed Amine Ferrag, Leandros Maglaras, Antonios Argyriou +2
cs.CRarXiv:1708.04027v12017
A Secure Federated Learning Framework for 5G Networks
Yi Liu, Jialiang Peng, Jiawen Kang +3
cs.CRcs.LGcs.NIarXiv:2005.05752v12020
Defending Against Alignment-Breaking Attacks via Robustly Aligned LLM
Bochuan Cao, Yuanpu Cao, Lu Lin +1
cs.CLcs.AIcs.CRarXiv:2309.14348v32023
Adversarial Feature Selection against Evasion Attacks
Fei Zhang, Patrick P. K. Chan, Battista Biggio +2
cs.LGcs.CRstat.MLarXiv:2005.12154v12020
Survey on Misbehavior Detection in Cooperative Intelligent Transportation Systems
Rens W. van der Heijden, Stefan Dietzel, Tim Leinmüller +1
cs.CRarXiv:1610.06810v22016
MetaPoison: Practical General-purpose Clean-label Data Poisoning
W. Ronny Huang, Jonas Geiping, Liam Fowl +2
cs.LGcs.AIcs.CRarXiv:2004.00225v22020
Sparse and Imperceivable Adversarial Attacks
Francesco Croce, Matthias Hein
cs.LGcs.CRcs.CVarXiv:1909.05040v12019
Algorithms that Remember: Model Inversion Attacks and Data Protection Law
Michael Veale, Reuben Binns, Lilian Edwards
cs.LGcs.CRcs.CYarXiv:1807.04644v22018
A Survey on Security and Privacy Issues in Modern Healthcare Systems: Attacks and Defenses
AKM Iqridar Newaz, Amit Kumar Sikder, Mohammad Ashiqur Rahman +1
cs.CRarXiv:2005.07359v12020
Using Hyper-V Sockets for Real-time Data Extraction from a Malware Analysis Sandbox
István-Attila Császár, Radu-Marian Portase, Adrian Coleşa +1
cs.CRarXiv:2608.30383v12026
Scalable Byzantine Consensus via Hardware-assisted Secret Sharing
Jian Liu, Wenting Li, Ghassan O. Karame +1
cs.CRcs.DCarXiv:1612.04997v52016
Reconstruction and Membership Inference Attacks against Generative Models
Benjamin Hilprecht, Martin Härterich, Daniel Bernau
cs.CRcs.LGarXiv:1906.03006v12019
Verifying Properties of Binarized Deep Neural Networks
Nina Narodytska, Shiva Prasad Kasiviswanathan, Leonid Ryzhyk +2
stat.MLcs.AIcs.CRarXiv:1709.06662v22017
Anomal-E: A Self-Supervised Network Intrusion Detection System based on Graph Neural Networks
Evan Caville, Wai Weng Lo, Siamak Layeghy +1
cs.LGcs.AIcs.CRarXiv:2207.06819v52022
Neurotoxin: Durable Backdoors in Federated Learning
Zhengming Zhang, Ashwinee Panda, Linyue Song +5
cs.CRcs.AIcs.LGarXiv:2206.10341v12022
Synthetic Data -- Anonymisation Groundhog Day
Theresa Stadler, Bristena Oprisanu, Carmela Troncoso
cs.LGcs.CRarXiv:2011.07018v62020

Cryptography and Security

BLAZE: Blazing Fast Privacy-Preserving Machine Learning

RawBoost: A Raw Data Boosting and Augmentation Method applied to Automatic Speaker Verification Anti-Spoofing

Poisoning Attacks to Graph-Based Recommender Systems

BackdoorBench: A Comprehensive Benchmark of Backdoor Learning

A scalable verification solution for blockchains

Deep Pixel-wise Binary Supervision for Face Presentation Attack Detection

Graph Backdoor

The Safeguard Worked. Is the LLM System Safer?

An Embarrassingly Simple Approach for Trojan Attack in Deep Neural Networks

A General Framework for Adversarial Examples with Objectives

Deep Learning for Insider Threat Detection: Review, Challenges and Opportunities

PhishDef: URL Names Say It All

WaveFake: A Data Set to Facilitate Audio Deepfake Detection

[Extended version] Rethinking Deep Neural Network Ownership Verification: Embedding Passports to Defeat Ambiguity Attacks

LSTM-Autoencoder based Anomaly Detection for Indoor Air Quality Time Series Data

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

VulBERTa: Simplified Source Code Pre-Training for Vulnerability Detection

On the Reliability of Watermarks for Large Language Models

Balancing Privacy, Utility, and Safety in LLM Alignment through Preference Optimization

A Simple Transformer Pipeline for Full-Key Side-Channel Attacks on Uncropped Datasets

jTrans: Jump-Aware Transformer for Binary Code Similarity

Automated Dynamic Firmware Analysis at Scale: A Case Study on Embedded Web Interfaces

Practical Whole-System Provenance Capture

DDoSNet: A Deep-Learning Model for Detecting Network Attacks

Stealing Links from Graph Neural Networks

How Unique and Traceable are Usernames?

Poseidon: Mitigating Interest Flooding DDoS Attacks in Named Data Networking

Interference Assisted Secret Communication

Federated Unlearning via Class-Discriminative Pruning

Learning to Protect Communications with Adversarial Neural Cryptography

Cyber-Physical Energy Systems Security: Threat Modeling, Risk Assessment, Resources, Metrics, and Case Studies

Encryption-then-Compression Systems using Grayscale-based Image Encryption for JPEG Images

A Neural Network Architecture Combining Gated Recurrent Unit (GRU) and Support Vector Machine (SVM) for Intrusion Detection in Network Traffic Data

A Dependable Hybrid Machine Learning Model for Network Intrusion Detection

DeepHammer: Depleting the Intelligence of Deep Neural Networks through Targeted Chain of Bit Flips

The Fragility of Jailbreak Robustness Across Operational States

SingProbe Technical Report

Beyond the Payload: How User Invocation Shapes Coding Agent Vulnerability to Repository Poisoning

Fingerprinting Codes and the Price of Approximate Differential Privacy

Technical Aspects of Cyber Kill Chain

A Survey on Digital Twins: Architecture, Enabling Technologies, Security and Privacy, and Future Prospects

On the Necessity of Auditable Algorithmic Definitions for Machine Unlearning

Federated Variance-Reduced Stochastic Gradient Descent with Robustness to Byzantine Attacks

Simple data balancing achieves competitive worst-group-accuracy

Security for 4G and 5G Cellular Networks: A Survey of Existing Authentication and Privacy-preserving Schemes

A Secure Federated Learning Framework for 5G Networks

Defending Against Alignment-Breaking Attacks via Robustly Aligned LLM

Adversarial Feature Selection against Evasion Attacks

Survey on Misbehavior Detection in Cooperative Intelligent Transportation Systems

MetaPoison: Practical General-purpose Clean-label Data Poisoning

Sparse and Imperceivable Adversarial Attacks

Algorithms that Remember: Model Inversion Attacks and Data Protection Law

A Survey on Security and Privacy Issues in Modern Healthcare Systems: Attacks and Defenses

Using Hyper-V Sockets for Real-time Data Extraction from a Malware Analysis Sandbox

Scalable Byzantine Consensus via Hardware-assisted Secret Sharing

Reconstruction and Membership Inference Attacks against Generative Models

Verifying Properties of Binarized Deep Neural Networks

Anomal-E: A Self-Supervised Network Intrusion Detection System based on Graph Neural Networks

Neurotoxin: Durable Backdoors in Federated Learning

Synthetic Data -- Anonymisation Groundhog Day