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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2,161 to 2,220 of 2,549

Smart Contract-Based Access Control for the Internet of Things
Yuanyu Zhang, Shoji Kasahara, Yulong Shen +2
cs.CRarXiv:1802.04410v12018
Asynchronous Verifiable Information Dispersal with Low Space and Communication Complexity
Thomas Locher, Yvonne-Anne Pignolet
cs.DCcs.CRcs.ITarXiv:2608.24636v12026
ICS Cybersecurity Datasets: A Systematic Meta-Review of Coverage, Evaluation Practice, and Structural Gaps
Konstantinos E. Kampourakis, Vyron Kampourakis, Georgios Kambourakis +4
cs.CRarXiv:2608.24757v12026
Security Education in Higher Education through AI-Powered Gamification
Bingjun Li, Christopher Buzaid, Weihao Qu
cs.CYcs.CRarXiv:2608.24778v12026
Recent Advances in Adversarial Training for Adversarial Robustness
Tao Bai, Jinqi Luo, Jun Zhao +2
cs.LGcs.AIcs.CRarXiv:2102.01356v52021
Defending Network Intrusion Detection Systems Based on Graph Neural Networks Against Structural Adversarial Attacks
Dimitri Galli, Andrea Venturi, Dario Stabili +2
cs.CRarXiv:2608.24454v12026
Optimal Selfish Mining Strategies in Bitcoin
Ayelet Sapirshtein, Yonatan Sompolinsky, Aviv Zohar
cs.CRarXiv:1507.06183v22015
Flush+Flush: A Fast and Stealthy Cache Attack
Daniel Gruss, Clémentine Maurice, Klaus Wagner +1
cs.CRarXiv:1511.04594v32015
Adversarial Attacks on Graph Neural Networks via Meta Learning
Daniel Zügner, Stephan Günnemann
cs.LGcs.CRstat.MLarXiv:1902.08412v22019
SecOPD: Mitigating Adaptive Prompt Injections by On-Policy Distillation
Yibo Peng, Long Lian, David Wagner +1
cs.CRcs.AIarXiv:2608.21500v12026
Adversarial Risk and the Dangers of Evaluating Against Weak Attacks
Jonathan Uesato, Brendan O'Donoghue, Aaron van den Oord +1
cs.LGcs.CRstat.MLarXiv:1802.05666v22018
On the Evidentiary Limits of Membership Inference for Copyright Auditing
Murat Bilgehan Ertan, Emirhan Böge, Min Chen +2
cs.CRcs.AIarXiv:2601.12937v12026
From ChatGPT to ThreatGPT: Impact of Generative AI in Cybersecurity and Privacy
Maanak Gupta, CharanKumar Akiri, Kshitiz Aryal +2
cs.CRcs.AIarXiv:2307.00691v12023
RSA: Byzantine-Robust Stochastic Aggregation Methods for Distributed Learning from Heterogeneous Datasets
Liping Li, Wei Xu, Tianyi Chen +2
cs.LGcs.CRcs.MAarXiv:1811.03761v22018
Software Grand Exposure: SGX Cache Attacks Are Practical
Ferdinand Brasser, Urs Müller, Alexandra Dmitrienko +3
cs.CRarXiv:1702.07521v12017
Masked Differential-linear Distinguishers and Quantum Approaches
Shobhit Pandey, Sarbani Sen, Debajyoti Bera +1
quant-phcs.CRarXiv:2608.24799v12026
StepGuard: Learning Step-Level Guardrails with Scalable Supervision and Safety-Utility Balancing
Zhijie Zheng, Yu Li, Chen Qian +5
cs.AIcs.CRarXiv:2608.24777v12026
Knockoff Nets: Stealing Functionality of Black-Box Models
Tribhuvanesh Orekondy, Bernt Schiele, Mario Fritz
cs.CVcs.CRcs.LGarXiv:1812.02766v12018
EMBER: An Open Dataset for Training Static PE Malware Machine Learning Models
Hyrum S. Anderson, Phil Roth
cs.CRarXiv:1804.04637v22018
A Survey on Blockchain Interoperability: Past, Present, and Future Trends
Rafael Belchior, André Vasconcelos, Sérgio Guerreiro +1
cs.DCcs.CRarXiv:2005.14282v32020
Finding The Greedy, Prodigal, and Suicidal Contracts at Scale
Ivica Nikolic, Aashish Kolluri, Ilya Sergey +2
cs.CRarXiv:1802.06038v22018
BlockChain: A distributed solution to automotive security and privacy
Ali Dorri, Marco Steger, Salil S. Kanhere +1
cs.CRarXiv:1704.00073v22017
Towards LLM-Enhanced Android Taint Analysis
Nicholas Miazzo, Marco Alecci, Jordan Samhi +2
cs.SEcs.CRarXiv:2608.24269v12026
DeepSight: An All-in-One LM Safety Toolkit
Bo Zhang, Jiaxuan Guo, Lijun Li +17
cs.CLcs.AIcs.CRarXiv:2602.12092v12026
STAIN-FL: Stealthy Targeted Attack Injection with Contextual Triggers in Federated Learning
Ashlinder Kaur, Purnima Murali Mohan, Zengxiang Li +1
cs.CRcs.AIarXiv:2608.23952v12026
Favia: Forensic Agent for Vulnerability-fix Identification and Analysis
André Storhaug, Jiamou Sun, Jingyue Li
cs.SEcs.AIcs.CRarXiv:2602.12500v12026
Mitigating Sybils in Federated Learning Poisoning
Clement Fung, Chris J. M. Yoon, Ivan Beschastnikh
cs.LGcs.CRcs.DCarXiv:1808.04866v52018
SoK: ARCUS: On the Efficiency and Efficacy of Hardware Fuzzing
Alenkruth Krishnan Murali, Raghul Saravanan, Sai Manoj P D +1
cs.CRcs.SEarXiv:2608.23933v12026
Who Falls for SMiSh? Learning Through Survey Data Where to Best Target Awareness Training for Mobile Messaging Attacks
Cori Faklaris, Sarah Tabassum, Heather Richter Lipford
cs.CRcs.HCarXiv:2608.24669v12026
Key Recovery from Residue-Confined Errors in Pradhan CRT-RLWE
Lukasz Olejnik, Bartosz Naskrecki
cs.CRarXiv:2608.21989v12026
EAD: Elastic-Net Attacks to Deep Neural Networks via Adversarial Examples
Pin-Yu Chen, Yash Sharma, Huan Zhang +2
stat.MLcs.CRcs.LGarXiv:1709.04114v32017
EmbTracker: Traceable Black-box Watermarking for Federated Language Models
Haodong Zhao, Jinming Hu, Yijie Bai +6
cs.CRarXiv:2603.12089v12026
A Case-Control Measurement Study of OSINT Source Effectiveness for Critical Infrastructure Defense
Ekrem E. Emeksiz, Jeel Piyushkumar Khatiwala, Divyangkumar Patel +1
cs.CRarXiv:2608.21471v12026
DecodingTrust: A Comprehensive Assessment of Trustworthiness in GPT Models
Boxin Wang, Weixin Chen, Hengzhi Pei +16
cs.CLcs.AIcs.CRarXiv:2306.11698v52023
Machine Learning in IoT Security: Current Solutions and Future Challenges
Fatima Hussain, Rasheed Hussain, Syed Ali Hassan +1
cs.CRcs.LGstat.MLarXiv:1904.05735v12019
Invisible Backdoor Attack with Sample-Specific Triggers
Yuezun Li, Yiming Li, Baoyuan Wu +3
cs.CRarXiv:2012.03816v32020
Deep Fingerprinting: Undermining Website Fingerprinting Defenses with Deep Learning
Payap Sirinam, Mohsen Imani, Marc Juarez +1
cs.CRarXiv:1801.02265v52018
Session Risk Memory (SRM): Temporal Authorization for Deterministic Pre-Execution Safety Gates
Florin Adrian Chitan
cs.AIcs.CRarXiv:2603.22350v12026
Enhancing User Resilience Against AI-Augmented Phishing: A Two-Stage Framework for Detection and Personalized Training
Weihao Qu, Gurmeet Singh, Daniel Crawford +2
cs.CRarXiv:2608.21547v12026
Machine Learning DDoS Detection for Consumer Internet of Things Devices
Rohan Doshi, Noah Apthorpe, Nick Feamster
cs.CRcs.LGarXiv:1804.04159v12018
How Reliable Are NVD CWE Labels? A Large-Scale Semantic Audit with Seclometry
Yu Nong, Yao Du, Majid Behravan +1
cs.CRcs.SEarXiv:2608.21977v12026
Scalable PII Discovery in Mobile App Databases via Hypothesis-Driven Search
Jeel Piyushkumar Khatiwala, Samad Afolabi, Ruoyao Xiao +3
cs.CRarXiv:2608.21469v12026
"Do Anything Now": Characterizing and Evaluating In-The-Wild Jailbreak Prompts on Large Language Models
Xinyue Shen, Zeyuan Chen, Michael Backes +2
cs.CRcs.LGarXiv:2308.03825v22023
Malware Detection by Eating a Whole EXE
Edward Raff, Jon Barker, Jared Sylvester +3
stat.MLcs.CRcs.LGarXiv:1710.09435v12017
Backdoor Attacks on Decentralised Post-Training
Oğuzhan Ersoy, Nikolay Blagoev, Jona te Lintelo +3
cs.CRcs.LGarXiv:2604.02372v12026
On Predicting Vulnerability Severity Using In-Context Learning: An Industrial Case Study
Daniel Rodriguez-Cardenas, David Nader Palacio, Anna Schmedding +8
cs.CRcs.AIarXiv:2608.22089v12026
Scalpel3: A High-Performance Data Carving Architecture for Recovery of Fragmented Files
Karley Waguespack, Samuel Goodwin, George Hendrick +8
cs.DCcs.CRarXiv:2608.20363v22026
Ghost Echoes: Semantic Erasure Failure in Retrieval-Backed Applications
Allan Mukkuzhi, Noella Uwayisenga, Yeabsira Bizualem +2
cs.DBcs.CRcs.DCarXiv:2608.20352v12026
Obscura-PQ: Post-Quantum Privacy-Preserving Protocol for the Algorand Blockchain Using Lattice-Based Linkable Ring Signatures
Navid Azimi
cs.CRarXiv:2608.22645v12026
Neural Network-based Graph Embedding for Cross-Platform Binary Code Similarity Detection
Xiaojun Xu, Chang Liu, Qian Feng +3
cs.CRcs.NEarXiv:1708.06525v42017
Non-Fungible Token (NFT): Overview, Evaluation, Opportunities and Challenges
Qin Wang, Rujia Li, Qi Wang +1
cs.CRarXiv:2105.07447v32021
Interrupting the Chain: Human Perception of AI-Generated Disinformation Through a Kill Chain Lens
Alexander Loth, Martin Kappes, Marc-Oliver Pahl
cs.CYcs.AIcs.CRarXiv:2608.21389v12026
Are LLMs Vulnerable to Preference-Undermining Attacks (PUA)? A Factorial Analysis Methodology for Diagnosing the Trade-off between Preference Alignment and Real-World Validity
Hongjun An, Yiliang Song, Jiangan Chen +3
cs.CRcs.AIarXiv:2601.06596v12026
MATEE: Efficiently Bridging the Semantic Gap in TrustZone via Arm Pointer Authentication
Shiqi Liu, Xiang Li, Jie Wang +2
cs.CRarXiv:2608.20583v12026
DeepGauge: Multi-Granularity Testing Criteria for Deep Learning Systems
Lei Ma, Felix Juefei-Xu, Fuyuan Zhang +9
cs.SEcs.CRcs.LGarXiv:1803.07519v42018
Membership Inference Attacks on Machine Learning: A Survey
Hongsheng Hu, Zoran Salcic, Lichao Sun +3
cs.LGcs.CRarXiv:2103.07853v42021
Simple Black-box Adversarial Attacks
Chuan Guo, Jacob R. Gardner, Yurong You +2
cs.LGcs.CRstat.MLarXiv:1905.07121v22019
Less Is More -- Until It Breaks: Security Pitfalls of Vision Token Compression in Large Vision-Language Models
Xiaomei Zhang, Zhaoxi Zhang, Leo Yu Zhang +3
cs.CRcs.AIarXiv:2601.12042v12026
EGAMA-RC: Risk-Calibrated Evidence-Gated Adaptive Malware Analysis for Robust and Interpretable Memory-Forensic Triage
Isaac Kofi Nti
cs.CRcs.LGarXiv:2608.22721v12026
IoT Sentinel: Automated Device-Type Identification for Security Enforcement in IoT
Markus Miettinen, Samuel Marchal, Ibbad Hafeez +3
cs.CRarXiv:1611.04880v22016

Cryptography and Security

Smart Contract-Based Access Control for the Internet of Things

Asynchronous Verifiable Information Dispersal with Low Space and Communication Complexity

ICS Cybersecurity Datasets: A Systematic Meta-Review of Coverage, Evaluation Practice, and Structural Gaps

Security Education in Higher Education through AI-Powered Gamification

Recent Advances in Adversarial Training for Adversarial Robustness

Defending Network Intrusion Detection Systems Based on Graph Neural Networks Against Structural Adversarial Attacks

Optimal Selfish Mining Strategies in Bitcoin

Flush+Flush: A Fast and Stealthy Cache Attack

Adversarial Attacks on Graph Neural Networks via Meta Learning

SecOPD: Mitigating Adaptive Prompt Injections by On-Policy Distillation

Adversarial Risk and the Dangers of Evaluating Against Weak Attacks

On the Evidentiary Limits of Membership Inference for Copyright Auditing

From ChatGPT to ThreatGPT: Impact of Generative AI in Cybersecurity and Privacy

RSA: Byzantine-Robust Stochastic Aggregation Methods for Distributed Learning from Heterogeneous Datasets

Software Grand Exposure: SGX Cache Attacks Are Practical

Masked Differential-linear Distinguishers and Quantum Approaches

StepGuard: Learning Step-Level Guardrails with Scalable Supervision and Safety-Utility Balancing

Knockoff Nets: Stealing Functionality of Black-Box Models

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

A Survey on Blockchain Interoperability: Past, Present, and Future Trends

Finding The Greedy, Prodigal, and Suicidal Contracts at Scale

BlockChain: A distributed solution to automotive security and privacy

Towards LLM-Enhanced Android Taint Analysis

DeepSight: An All-in-One LM Safety Toolkit

STAIN-FL: Stealthy Targeted Attack Injection with Contextual Triggers in Federated Learning

Favia: Forensic Agent for Vulnerability-fix Identification and Analysis

Mitigating Sybils in Federated Learning Poisoning

SoK: ARCUS: On the Efficiency and Efficacy of Hardware Fuzzing

Who Falls for SMiSh? Learning Through Survey Data Where to Best Target Awareness Training for Mobile Messaging Attacks

Key Recovery from Residue-Confined Errors in Pradhan CRT-RLWE

EAD: Elastic-Net Attacks to Deep Neural Networks via Adversarial Examples

EmbTracker: Traceable Black-box Watermarking for Federated Language Models

A Case-Control Measurement Study of OSINT Source Effectiveness for Critical Infrastructure Defense

DecodingTrust: A Comprehensive Assessment of Trustworthiness in GPT Models

Machine Learning in IoT Security: Current Solutions and Future Challenges

Invisible Backdoor Attack with Sample-Specific Triggers

Deep Fingerprinting: Undermining Website Fingerprinting Defenses with Deep Learning

Session Risk Memory (SRM): Temporal Authorization for Deterministic Pre-Execution Safety Gates

Enhancing User Resilience Against AI-Augmented Phishing: A Two-Stage Framework for Detection and Personalized Training

Machine Learning DDoS Detection for Consumer Internet of Things Devices

How Reliable Are NVD CWE Labels? A Large-Scale Semantic Audit with Seclometry

Scalable PII Discovery in Mobile App Databases via Hypothesis-Driven Search

"Do Anything Now": Characterizing and Evaluating In-The-Wild Jailbreak Prompts on Large Language Models

Malware Detection by Eating a Whole EXE

Backdoor Attacks on Decentralised Post-Training

On Predicting Vulnerability Severity Using In-Context Learning: An Industrial Case Study

Scalpel3: A High-Performance Data Carving Architecture for Recovery of Fragmented Files

Ghost Echoes: Semantic Erasure Failure in Retrieval-Backed Applications

Obscura-PQ: Post-Quantum Privacy-Preserving Protocol for the Algorand Blockchain Using Lattice-Based Linkable Ring Signatures

Neural Network-based Graph Embedding for Cross-Platform Binary Code Similarity Detection

Non-Fungible Token (NFT): Overview, Evaluation, Opportunities and Challenges

Interrupting the Chain: Human Perception of AI-Generated Disinformation Through a Kill Chain Lens

Are LLMs Vulnerable to Preference-Undermining Attacks (PUA)? A Factorial Analysis Methodology for Diagnosing the Trade-off between Preference Alignment and Real-World Validity

MATEE: Efficiently Bridging the Semantic Gap in TrustZone via Arm Pointer Authentication

DeepGauge: Multi-Granularity Testing Criteria for Deep Learning Systems

Membership Inference Attacks on Machine Learning: A Survey

Simple Black-box Adversarial Attacks

Less Is More -- Until It Breaks: Security Pitfalls of Vision Token Compression in Large Vision-Language Models

EGAMA-RC: Risk-Calibrated Evidence-Gated Adaptive Malware Analysis for Robust and Interpretable Memory-Forensic Triage

IoT Sentinel: Automated Device-Type Identification for Security Enforcement in IoT