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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421 to 480 of 2,557

Hyperparameter Tuning with Renyi Differential Privacy
Nicolas Papernot, Thomas Steinke
cs.LGcs.CRcs.DSarXiv:2110.03620v22021
Counter-Swarm Doctrine: Containing Coordinated Agent Intrusions
Gregory N Frank
cs.CRcs.LGcs.MAarXiv:2609.06140v12026
Privacy Auditing with One (1) Training Run
Thomas Steinke, Milad Nasr, Matthew Jagielski
cs.LGcs.CRcs.DSarXiv:2305.08846v12023
Kairos: Practical Intrusion Detection and Investigation using Whole-system Provenance
Zijun Cheng, Qiujian Lv, Jinyuan Liang +4
cs.CRcs.LGarXiv:2308.05034v32023
Real-Time Detection of Hybrid and Stealthy Cyber-Attacks in Smart Grid
Mehmet Necip Kurt, Yasin Yilmaz, Xiaodong Wang
cs.ITcs.CRarXiv:1803.00128v22018
R2-D2: ColoR-inspired Convolutional NeuRal Network (CNN)-based AndroiD Malware Detections
TonTon Hsien-De Huang, Hung-Yu Kao
cs.CRcs.AIarXiv:1705.04448v52017
A TTP by TTP Approach: Precise Malware Detection via Malicious TTP Recognition
Yashovardhan Sharma
cs.CRcs.AIarXiv:2609.06579v12026
SRD-GUARD: A Defense Framework of LLMs via Semantic Rewriting and Joint Multi-Model Scoring for Latent Intent Exposure
Qi Wang, Chengcheng Wan, Jiangtao Wang
cs.CRcs.AIarXiv:2609.06540v12026
Deep Learning-Based Autonomous Driving Systems: A Survey of Attacks and Defenses
Yao Deng, Tiehua Zhang, Guannan Lou +3
cs.LGcs.CRcs.CVarXiv:2104.01789v22021
FLEAM: A Federated Learning Empowered Architecture to Mitigate DDoS in Industrial IoT
J. Li, L. Lyu, X. Liu +2
cs.CRcs.ITarXiv:2012.06150v22020
Helen: Maliciously Secure Coopetitive Learning for Linear Models
Wenting Zheng, Raluca Ada Popa, Joseph E. Gonzalez +1
cs.CRcs.LGarXiv:1907.07212v22019
Adversarial Objects Against LiDAR-Based Autonomous Driving Systems
Yulong Cao, Chaowei Xiao, Dawei Yang +4
cs.CRcs.CVcs.LGarXiv:1907.05418v12019
Detecting Violations of Differential Privacy
Zeyu Ding, Yuxin Wang, Guanhong Wang +2
cs.CRarXiv:1805.10277v52018
Adversarial Attacks on Deep Neural Networks for Time Series Classification
Hassan Ismail Fawaz, Germain Forestier, Jonathan Weber +2
cs.LGcs.CRstat.MLarXiv:1903.07054v22019
SCRIPTIOC-BENCH: A Benchmark for Recognizing Actionable Threat Intelligence from Script-Based Malware using LLMs
Hanna Kim, Jian Cui, Minkyoo Song +4
cs.CRcs.AIarXiv:2609.06149v12026
Protecting Facial Privacy: Generating Adversarial Identity Masks via Style-robust Makeup Transfer
Shengshan Hu, Xiaogeng Liu, Yechao Zhang +4
cs.CVcs.CRarXiv:2203.03121v22022
SIDE: Sensor Impersonation Detection at the Edge via Sequence Prediction
Nahom Birhan
cs.CRcs.AIarXiv:2609.06271v12026
It is Not Yet Another Tool: Creating and Deploying an Agentic AI Companion in a Security Operations Center
Kritan Banstola, Faayed Al Faisal, Duy Dao +3
cs.CRcs.AIarXiv:2609.06250v12026
Verification of quantum computation: An overview of existing approaches
Alexandru Gheorghiu, Theodoros Kapourniotis, Elham Kashefi
quant-phcs.CRarXiv:1709.06984v22017
DeepRobust: A PyTorch Library for Adversarial Attacks and Defenses
Yaxin Li, Wei Jin, Han Xu +1
cs.LGcs.CRstat.MLarXiv:2005.06149v12020
A Taxonomy of Network Threats and the Effect of Current Datasets on Intrusion Detection Systems
Hanan Hindy, David Brosset, Ethan Bayne +4
cs.CRcs.AIcs.NIarXiv:1806.03517v22018
AnonymousNet: Natural Face De-Identification with Measurable Privacy
Tao Li, Lei Lin
cs.CVcs.CRcs.IRarXiv:1904.12620v12019
Provably Secure Federated Learning against Malicious Clients
Xiaoyu Cao, Jinyuan Jia, Neil Zhenqiang Gong
cs.CRcs.DCcs.LGarXiv:2102.01854v42021
The Privacy Onion Effect: Memorization is Relative
Nicholas Carlini, Matthew Jagielski, Chiyuan Zhang +3
cs.LGcs.CRarXiv:2206.10469v22022
StegExpose - A Tool for Detecting LSB Steganography
Benedikt Boehm
cs.MMcs.CRarXiv:1410.6656v12014
Enabling Strong Privacy Preservation and Accurate Task Allocation for Mobile Crowdsensing
Jianbing Ni, Kuan Zhang, Qi Xia +2
cs.CRarXiv:1806.04057v12018
Revoked but Still Authoritative: An Empirical Study of Revocation Enforcement in Agent-Memory Systems
Yi Ting Shen, Kentaroh Toyoda, Alex Leung
cs.AIcs.CRarXiv:2609.08258v12026
Principled Evaluation of Differentially Private Algorithms using DPBench
Michael Hay, Ashwin Machanavajjhala, Gerome Miklau +2
cs.DBcs.CRarXiv:1512.04817v12015
SOSEMANUK: a fast software-oriented stream cipher
Come Berbain, Olivier Billet, Anne Canteaut +9
cs.CRarXiv:0810.1858v12008
Privacy for Free: How does Dataset Condensation Help Privacy?
Tian Dong, Bo Zhao, Lingjuan Lyu
cs.CRcs.LGarXiv:2206.00240v12022
A Survey of Stealth Malware: Attacks, Mitigation Measures, and Steps Toward Autonomous Open World Solutions
Ethan M. Rudd, Andras Rozsa, Manuel Günther +1
cs.CRcs.CVarXiv:1603.06028v22016
ResidualAuth: What Authorization State Must Language Agents Preserve under Revocable Delegation?
Moonwon Choi, Seokho Jeong, Seunggeun Lee
cs.AIcs.CRarXiv:2609.08062v12026
Benchmarking datasets for Anomaly-based Network Intrusion Detection: KDD CUP 99 alternatives
Abhishek Divekar, Meet Parekh, Vaibhav Savla +2
cs.LGcs.AIcs.CRarXiv:1811.05372v12018
Context-Aware Generative Adversarial Privacy
Chong Huang, Peter Kairouz, Xiao Chen +2
cs.LGcs.AIcs.CRarXiv:1710.09549v32017
Security of the Fiat-Shamir Transformation in the Quantum Random-Oracle Model
Jelle Don, Serge Fehr, Christian Majenz +1
cs.CRquant-pharXiv:1902.07556v42019
Mechanizing Typed Regulatory Actions for Security Tokens: Semantics, Falsification, and Bounded EVM Evidence
Jinwook Kim
cs.CRcs.LOarXiv:2608.29134v32026
AutoAttacker: A Large Language Model Guided System to Implement Automatic Cyber-attacks
Jiacen Xu, Jack W. Stokes, Geoff McDonald +5
cs.CRcs.AIarXiv:2403.01038v12024
BppAttack: Stealthy and Efficient Trojan Attacks against Deep Neural Networks via Image Quantization and Contrastive Adversarial Learning
Zhenting Wang, Juan Zhai, Shiqing Ma
cs.CVcs.CRcs.LGarXiv:2205.13383v12022
Disrupting Deepfakes: Adversarial Attacks Against Conditional Image Translation Networks and Facial Manipulation Systems
Nataniel Ruiz, Sarah Adel Bargal, Stan Sclaroff
cs.CVcs.CRcs.CYarXiv:2003.01279v32020
Supervised Feature Selection Techniques in Network Intrusion Detection: a Critical Review
Mario Di Mauro, Giovanni Galatro, Giancarlo Fortino +1
cs.CRcs.AIcs.LGarXiv:2104.04958v12021
Reinforcement Learning with Perturbed Rewards
Jingkang Wang, Yang Liu, Bo Li
cs.LGcs.CRcs.CVarXiv:1810.01032v42018
Blind Justice: Fairness with Encrypted Sensitive Attributes
Niki Kilbertus, Adrià Gascón, Matt J. Kusner +3
stat.MLcs.CRcs.CYarXiv:1806.03281v12018
Learning-Aided Physical Layer Authentication as an Intelligent Process
He Fang, Xianbin Wang, Lajos Hanzo
cs.CRarXiv:1808.02456v12018
Detection of Adversarial Training Examples in Poisoning Attacks through Anomaly Detection
Andrea Paudice, Luis Muñoz-González, Andras Gyorgy +1
stat.MLcs.CRcs.LGarXiv:1802.03041v12018
Bypassing Backdoor Detection Algorithms in Deep Learning
Te Juin Lester Tan, Reza Shokri
cs.LGcs.CRstat.MLarXiv:1905.13409v22019
A survey on pseudonym changing strategies for Vehicular Ad-Hoc Networks
Abdelwahab Boualouache, Sidi-Mohammed Senouci, Samira Moussaoui
cs.CRarXiv:1704.00679v12017
Hiding the Access Pattern is Not Enough: Exploiting Search Pattern Leakage in Searchable Encryption
Simon Oya, Florian Kerschbaum
cs.CRarXiv:2010.03465v12020
Counter-GEO-Bench: Evaluating Defenses Against Information-Distorting Generative Engine Optimization
Bing Zheng, Zongyao Zhao, Wenming Yang
cs.IRcs.CLcs.CRarXiv:2609.02316v12026
LLM Defenses Are Not Robust to Multi-Turn Human Jailbreaks Yet
Nathaniel Li, Ziwen Han, Ian Steneker +6
cs.LGcs.CLcs.CRarXiv:2408.15221v22024
Quantifying Privacy Leakage in Graph Embedding
Vasisht Duddu, Antoine Boutet, Virat Shejwalkar
cs.CRarXiv:2010.00906v22020
TTAGN: Temporal Transaction Aggregation Graph Network for Ethereum Phishing Scams Detection
Sijia Li, Gaopeng Gou, Chang Liu +3
cs.CRcs.AIarXiv:2204.13442v12022
On Success and Simplicity: A Second Look at Transferable Targeted Attacks
Zhengyu Zhao, Zhuoran Liu, Martha Larson
cs.LGcs.CRcs.CVarXiv:2012.11207v42020
Breaking Darknet CAPTCHAs with general purpose LLM
Benjamin Fehrensen, Jens Hubler
cs.CRcs.CVarXiv:2608.28794v12026
Transformers and Large Language Models for Efficient Intrusion Detection Systems: A Comprehensive Survey
Hamza Kheddar
cs.CRcs.AIcs.CLarXiv:2408.07583v22024
A framework of blockchain-based secure and privacy-preserving E-government system
Noe Elisa, Longzhi Yang, Fei Chao +1
cs.CRarXiv:2006.14231v12020
Cloud-Based Approximate Constrained Shortest Distance Queries Over Encrypted Graphs With Privacy Protection
Meng Shen, Baoli Ma, Liehuang Zhu +3
cs.CRarXiv:1809.07912v12018
Learning Privately from Multiparty Data
Jihun Hamm, Paul Cao, Mikhail Belkin
cs.LGcs.CRarXiv:1602.03552v12016
Attacks Meet Interpretability: Attribute-steered Detection of Adversarial Samples
Guanhong Tao, Shiqing Ma, Yingqi Liu +1
cs.LGcs.AIcs.CRarXiv:1810.11580v12018
A Translational Note on AI Safety Evaluation
Madhava Gaikwad
cs.AIcs.CLcs.CRarXiv:2609.06573v12026
Towards Decentralized Registries for Assets Metadata Information
Thomas Hardjono, Alexander Lipton
cs.DCcs.CRarXiv:2609.05430v12026

Cryptography and Security

Hyperparameter Tuning with Renyi Differential Privacy

Counter-Swarm Doctrine: Containing Coordinated Agent Intrusions

Privacy Auditing with One (1) Training Run

Kairos: Practical Intrusion Detection and Investigation using Whole-system Provenance

Real-Time Detection of Hybrid and Stealthy Cyber-Attacks in Smart Grid

R2-D2: ColoR-inspired Convolutional NeuRal Network (CNN)-based AndroiD Malware Detections

A TTP by TTP Approach: Precise Malware Detection via Malicious TTP Recognition

SRD-GUARD: A Defense Framework of LLMs via Semantic Rewriting and Joint Multi-Model Scoring for Latent Intent Exposure

Deep Learning-Based Autonomous Driving Systems: A Survey of Attacks and Defenses

FLEAM: A Federated Learning Empowered Architecture to Mitigate DDoS in Industrial IoT

Helen: Maliciously Secure Coopetitive Learning for Linear Models

Adversarial Objects Against LiDAR-Based Autonomous Driving Systems

Detecting Violations of Differential Privacy

Adversarial Attacks on Deep Neural Networks for Time Series Classification

SCRIPTIOC-BENCH: A Benchmark for Recognizing Actionable Threat Intelligence from Script-Based Malware using LLMs

Protecting Facial Privacy: Generating Adversarial Identity Masks via Style-robust Makeup Transfer

SIDE: Sensor Impersonation Detection at the Edge via Sequence Prediction

It is Not Yet Another Tool: Creating and Deploying an Agentic AI Companion in a Security Operations Center

Verification of quantum computation: An overview of existing approaches

DeepRobust: A PyTorch Library for Adversarial Attacks and Defenses

A Taxonomy of Network Threats and the Effect of Current Datasets on Intrusion Detection Systems

AnonymousNet: Natural Face De-Identification with Measurable Privacy

Provably Secure Federated Learning against Malicious Clients

The Privacy Onion Effect: Memorization is Relative

StegExpose - A Tool for Detecting LSB Steganography

Enabling Strong Privacy Preservation and Accurate Task Allocation for Mobile Crowdsensing

Revoked but Still Authoritative: An Empirical Study of Revocation Enforcement in Agent-Memory Systems

Principled Evaluation of Differentially Private Algorithms using DPBench

SOSEMANUK: a fast software-oriented stream cipher

Privacy for Free: How does Dataset Condensation Help Privacy?

A Survey of Stealth Malware: Attacks, Mitigation Measures, and Steps Toward Autonomous Open World Solutions

ResidualAuth: What Authorization State Must Language Agents Preserve under Revocable Delegation?

Benchmarking datasets for Anomaly-based Network Intrusion Detection: KDD CUP 99 alternatives

Context-Aware Generative Adversarial Privacy

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

Mechanizing Typed Regulatory Actions for Security Tokens: Semantics, Falsification, and Bounded EVM Evidence

AutoAttacker: A Large Language Model Guided System to Implement Automatic Cyber-attacks

BppAttack: Stealthy and Efficient Trojan Attacks against Deep Neural Networks via Image Quantization and Contrastive Adversarial Learning

Disrupting Deepfakes: Adversarial Attacks Against Conditional Image Translation Networks and Facial Manipulation Systems

Supervised Feature Selection Techniques in Network Intrusion Detection: a Critical Review

Reinforcement Learning with Perturbed Rewards

Blind Justice: Fairness with Encrypted Sensitive Attributes

Learning-Aided Physical Layer Authentication as an Intelligent Process

Detection of Adversarial Training Examples in Poisoning Attacks through Anomaly Detection

Bypassing Backdoor Detection Algorithms in Deep Learning

A survey on pseudonym changing strategies for Vehicular Ad-Hoc Networks

Hiding the Access Pattern is Not Enough: Exploiting Search Pattern Leakage in Searchable Encryption

Counter-GEO-Bench: Evaluating Defenses Against Information-Distorting Generative Engine Optimization

LLM Defenses Are Not Robust to Multi-Turn Human Jailbreaks Yet

Quantifying Privacy Leakage in Graph Embedding

TTAGN: Temporal Transaction Aggregation Graph Network for Ethereum Phishing Scams Detection

On Success and Simplicity: A Second Look at Transferable Targeted Attacks

Breaking Darknet CAPTCHAs with general purpose LLM

Transformers and Large Language Models for Efficient Intrusion Detection Systems: A Comprehensive Survey

A framework of blockchain-based secure and privacy-preserving E-government system

Cloud-Based Approximate Constrained Shortest Distance Queries Over Encrypted Graphs With Privacy Protection

Learning Privately from Multiparty Data

Attacks Meet Interpretability: Attribute-steered Detection of Adversarial Samples

A Translational Note on AI Safety Evaluation

Towards Decentralized Registries for Assets Metadata Information