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)

481 to 540 of 2,553

Context-Aware Security for 6G Wireless The Role of Physical Layer Security
Arsenia Chorti, Andre Noll Barreto, Stefan Kopsell +5
cs.CReess.SParXiv:2101.01536v22021
Sparse DNNs with Improved Adversarial Robustness
Yiwen Guo, Chao Zhang, Changshui Zhang +1
cs.LGcs.CRcs.CVarXiv:1810.09619v22018
Adversarial Image Perturbation for Privacy Protection -- A Game Theory Perspective
Seong Joon Oh, Mario Fritz, Bernt Schiele
cs.CVcs.CRcs.GTarXiv:1703.09471v22017
Calibrating Data to Sensitivity in Private Data Analysis
Davide Proserpio, Sharon Goldberg, Frank McSherry
cs.CRcs.SIarXiv:1203.3453v52012
Automated Crowdturfing Attacks and Defenses in Online Review Systems
Yuanshun Yao, Bimal Viswanath, Jenna Cryan +2
cs.CRcs.SIarXiv:1708.08151v22017
Security Analysis Methods on Ethereum Smart Contract Vulnerabilities: A Survey
Purathani Praitheeshan, Lei Pan, Jiangshan Yu +2
cs.CRarXiv:1908.08605v32019
Boosting Adversarial Training with Hypersphere Embedding
Tianyu Pang, Xiao Yang, Yinpeng Dong +3
cs.LGcs.CRcs.CVarXiv:2002.08619v32020
Differentially Private $k$-Means Clustering
Dong Su, Jianneng Cao, Ninghui Li +2
cs.CRarXiv:1504.05998v12015
Robust Watermarking of Neural Network with Exponential Weighting
Ryota Namba, Jun Sakuma
cs.CRarXiv:1901.06151v12019
Cryptanalytic Extraction of Neural Network Models
Nicholas Carlini, Matthew Jagielski, Ilya Mironov
cs.LGcs.CRarXiv:2003.04884v22020
SIRNN: A Math Library for Secure RNN Inference
Deevashwer Rathee, Mayank Rathee, Rahul Kranti Kiran Goli +4
cs.CRcs.LGcs.MSarXiv:2105.04236v12021
Anti-DreamBooth: Protecting users from personalized text-to-image synthesis
Thanh Van Le, Hao Phung, Thuan Hoang Nguyen +3
cs.CVcs.CRcs.LGarXiv:2303.15433v22023
Cracking a hierarchical chaotic image encryption algorithm based on permutation
Chengqing Li
cs.CRarXiv:1505.00335v22015
MOLE: Detecting Insider Threats in AI Agents
Aashiq Muhamed, Virginia Smith
cs.LGcs.CLcs.CRarXiv:2609.06966v12026
Trojaning Language Models for Fun and Profit
Xinyang Zhang, Zheng Zhang, Shouling Ji +1
cs.CRcs.CLcs.LGarXiv:2008.00312v22020
Survey on Security Issues in Cloud Computing and Associated Mitigation Techniques
Rohit Bhadauria, Sugata Sanyal
cs.CRarXiv:1204.0764v22012
Longitudinal Analysis of Android Ad Library Permissions
Theodore Book, Adam Pridgen, Dan S. Wallach
cs.CRarXiv:1303.0857v22013
SENTINEL-RL: Offloading Topological Reasoning from LLM Agents in the Security Operations Center
Uday Vallabhaneni, Cassie L. Cagwin, David J. Wild
cs.CRcs.AIarXiv:2609.04159v12026
Deep Model Intellectual Property Protection via Deep Watermarking
Jie Zhang, Dongdong Chen, Jing Liao +4
cs.CVcs.CRarXiv:2103.04980v12021
Practical Detection of Trojan Neural Networks: Data-Limited and Data-Free Cases
Ren Wang, Gaoyuan Zhang, Sijia Liu +3
cs.LGcs.CRstat.MLarXiv:2007.15802v12020
THE-X: Privacy-Preserving Transformer Inference with Homomorphic Encryption
Tianyu Chen, Hangbo Bao, Shaohan Huang +6
cs.CRcs.CLarXiv:2206.00216v22022
A Non-Formulable Theorem: A Fundamental Limit of Finite Syntactic Systems and Its Consequences for Security and AI
Fabio F. G. Buono
cs.CRcs.AIcs.LOarXiv:2609.04086v12026
PatchBench: Evaluating AI Agents for Vulnerability Patching
Chihao Shen, Jiacheng Li, Aastha Mahajan +3
cs.CRcs.AIcs.SEarXiv:2609.04075v12026
ML-Doctor: Holistic Risk Assessment of Inference Attacks Against Machine Learning Models
Yugeng Liu, Rui Wen, Xinlei He +6
cs.CRcs.AIcs.LGarXiv:2102.02551v22021
AdvPrompter: Fast Adaptive Adversarial Prompting for LLMs
Anselm Paulus, Arman Zharmagambetov, Chuan Guo +2
cs.CRcs.AIcs.CLarXiv:2404.16873v22024
A Blind Trust, the Bloody Thrust: When Attacker-Controlled Hook Updates Steer AI Agent Harnesses towards Malicious Behaviors
Pengxun Li, Litian Zhang, Jianwei Hou +4
cs.CRcs.AIarXiv:2609.03884v12026
Generating Steganographic Text with LSTMs
Tina Fang, Martin Jaggi, Katerina Argyraki
cs.AIcs.CRcs.MMarXiv:1705.10742v12017
Personalized and Private Peer-to-Peer Machine Learning
Aurélien Bellet, Rachid Guerraoui, Mahsa Taziki +1
cs.LGcs.CRcs.DCarXiv:1705.08435v22017
Hiding in Plain Sight: A Longitudinal Study of Combosquatting Abuse
Panagiotis Kintis, Najmeh Miramirkhani, Charles Lever +5
cs.CRarXiv:1708.08519v12017
An Empirical Study of Deep Learning Models for Vulnerability Detection
Benjamin Steenhoek, Md Mahbubur Rahman, Richard Jiles +1
cs.SEcs.CRcs.LGarXiv:2212.08109v32022
Generalization or Memorization: Data Contamination and Trustworthy Evaluation for Large Language Models
Yihong Dong, Xue Jiang, Huanyu Liu +4
cs.CLcs.AIcs.CRarXiv:2402.15938v32024
Differentially Private Federated Learning on Heterogeneous Data
Maxence Noble, Aurélien Bellet, Aymeric Dieuleveut
cs.LGcs.CRmath.STarXiv:2111.09278v32021
Digital Building Twins and Blockchain for Performance-Based (Smart) Contracts
Jens J. Hunhevicz, Mahshid Motie, Daniel M. Hall
cs.CRarXiv:2105.05192v22021
Privacy, Robustness, and Fairness Trade-offs in Federated Intrusion Detection: Geometric Indistinguishability at the Aggregation Interface
Adrita Rahman Tory, ABM Shawkat Ali, Md Abu Layek +1
cs.CRcs.AIcs.LGarXiv:2609.03420v12026
Pufferfish Privacy Mechanisms for Correlated Data
Shuang Song, Yizhen Wang, Kamalika Chaudhuri
cs.LGcs.CRstat.MLarXiv:1603.03977v32016
CryptoGuard: High Precision Detection of Cryptographic Vulnerabilities in Massive-sized Java Projects
Sazzadur Rahaman, Ya Xiao, Sharmin Afrose +6
cs.CRarXiv:1806.06881v52018
Privacy Failure in Split-LLM Training, The Returned Gradient Nullifies the Decoys
Georgios Politis, Evangelos Pappas
cs.CRcs.DCcs.LGarXiv:2609.04382v12026
Quantum security and theory of decoherence
Piotr Mironowicz
quant-phcs.CRarXiv:2205.12927v12022
Quantum Attacks on Classical Proof Systems - The Hardness of Quantum Rewinding
Andris Ambainis, Ansis Rosmanis, Dominique Unruh
quant-phcs.CRarXiv:1404.6898v22014
OSCAR: Object Security Architecture for the Internet of Things
Malisa Vucinic, Bernard Tourancheau, Franck Rousseau +3
cs.NIcs.CRarXiv:1404.7799v12014
Using Rough Set and Support Vector Machine for Network Intrusion Detection
Rung-Ching Chen, Kai-Fan Cheng, Chia-Fen Hsieh
cs.LGcs.CRcs.NIarXiv:1004.0567v12010
Evaluating and Improving Adversarial Robustness of Machine Learning-Based Network Intrusion Detectors
Dongqi Han, Zhiliang Wang, Ying Zhong +5
cs.CRcs.LGcs.NIarXiv:2005.07519v42020
Black-box Adversarial Attacks on Video Recognition Models
Linxi Jiang, Xingjun Ma, Shaoxiang Chen +2
cs.LGcs.CRcs.CVarXiv:1904.05181v22019
STAR-Vote: A Secure, Transparent, Auditable, and Reliable Voting System
Josh Benaloh, Mike Byrne, Philip Kortum +4
cs.CRarXiv:1211.1904v12012
PAC it up: Towards Pointer Integrity using ARM Pointer Authentication
Hans Liljestrand, Thomas Nyman, Kui Wang +3
cs.CRarXiv:1811.09189v42018
Revisiting Membership Inference Under Realistic Assumptions
Bargav Jayaraman, Lingxiao Wang, Katherine Knipmeyer +2
cs.CRcs.LGstat.MLarXiv:2005.10881v52020
Robust Website Fingerprinting Through the Cache Occupancy Channel
Anatoly Shusterman, Lachlan Kang, Yarden Haskal +4
cs.CRcs.LGarXiv:1811.07153v32018
Security Risk Assessment in Internet of Things Systems
Jason R. C. Nurse, Sadie Creese, David De Roure
cs.CRcs.CYarXiv:1811.03290v12018
Modeling Realistic Adversarial Attacks against Network Intrusion Detection Systems
Giovanni Apruzzese, Mauro Andreolini, Luca Ferretti +2
cs.CRarXiv:2106.09380v12021
Image Encryption Using Differential Evolution Approach in Frequency Domain
Maaly Awad S Hassan, Ibrahim Soliman I Abuhaiba
cs.CRarXiv:1103.5783v12011
Faceless Person Recognition; Privacy Implications in Social Media
Seong Joon Oh, Rodrigo Benenson, Mario Fritz +1
cs.CVcs.AIcs.CRarXiv:1607.08438v12016
Privacy-Preserving Aggregation in Federated Learning: A Survey
Ziyao Liu, Jiale Guo, Wenzhuo Yang +3
cs.CRarXiv:2203.17005v22022
Betrayal, Distrust, and Rationality: Smart Counter-Collusion Contracts for Verifiable Cloud Computing
Changyu Dong, Yilei Wang, Amjad Aldweesh +2
cs.CRarXiv:1708.01171v42017
Rethinking the Trigger of Backdoor Attack
Yiming Li, Tongqing Zhai, Baoyuan Wu +3
cs.CRcs.CVcs.LGarXiv:2004.04692v32020
An LLM can Fool Itself: A Prompt-Based Adversarial Attack
Xilie Xu, Keyi Kong, Ning Liu +4
cs.CRarXiv:2310.13345v12023
Decompose to Understand, Fuse to Detect: Frequency-Decoupled Anomaly Detection for Encrypted Network Traffic
Xinglin Lian, Chengtai Cao, Ting Zhong +3
cs.CRcs.AIarXiv:2605.02970v12026
EXTRACTOR: Extracting Attack Behavior from Threat Reports
Kiavash Satvat, Rigel Gjomemo, V. N. Venkatakrishnan
cs.CRcs.AIarXiv:2104.08618v12021
Adversarial Vulnerabilities of Neural Biomarker Identification Systems
Polina Tapal, Bryce-Allen Bagley
cs.CRq-bio.NCarXiv:2609.01856v12026
LowKey: Leveraging Adversarial Attacks to Protect Social Media Users from Facial Recognition
Valeriia Cherepanova, Micah Goldblum, Harrison Foley +4
cs.CVcs.CRcs.LGarXiv:2101.07922v22021
DaST: Data-free Substitute Training for Adversarial Attacks
Mingyi Zhou, Jing Wu, Yipeng Liu +2
cs.CRcs.CVcs.LGarXiv:2003.12703v22020

Cryptography and Security

Context-Aware Security for 6G Wireless The Role of Physical Layer Security

Sparse DNNs with Improved Adversarial Robustness

Adversarial Image Perturbation for Privacy Protection -- A Game Theory Perspective

Calibrating Data to Sensitivity in Private Data Analysis

Automated Crowdturfing Attacks and Defenses in Online Review Systems

Security Analysis Methods on Ethereum Smart Contract Vulnerabilities: A Survey

Boosting Adversarial Training with Hypersphere Embedding

Differentially Private $k$-Means Clustering

Robust Watermarking of Neural Network with Exponential Weighting

Cryptanalytic Extraction of Neural Network Models

SIRNN: A Math Library for Secure RNN Inference

Anti-DreamBooth: Protecting users from personalized text-to-image synthesis

Cracking a hierarchical chaotic image encryption algorithm based on permutation

MOLE: Detecting Insider Threats in AI Agents

Trojaning Language Models for Fun and Profit

Survey on Security Issues in Cloud Computing and Associated Mitigation Techniques

Longitudinal Analysis of Android Ad Library Permissions

SENTINEL-RL: Offloading Topological Reasoning from LLM Agents in the Security Operations Center

Deep Model Intellectual Property Protection via Deep Watermarking

Practical Detection of Trojan Neural Networks: Data-Limited and Data-Free Cases

THE-X: Privacy-Preserving Transformer Inference with Homomorphic Encryption

A Non-Formulable Theorem: A Fundamental Limit of Finite Syntactic Systems and Its Consequences for Security and AI

PatchBench: Evaluating AI Agents for Vulnerability Patching

ML-Doctor: Holistic Risk Assessment of Inference Attacks Against Machine Learning Models

AdvPrompter: Fast Adaptive Adversarial Prompting for LLMs

A Blind Trust, the Bloody Thrust: When Attacker-Controlled Hook Updates Steer AI Agent Harnesses towards Malicious Behaviors

Generating Steganographic Text with LSTMs

Personalized and Private Peer-to-Peer Machine Learning

Hiding in Plain Sight: A Longitudinal Study of Combosquatting Abuse

An Empirical Study of Deep Learning Models for Vulnerability Detection

Generalization or Memorization: Data Contamination and Trustworthy Evaluation for Large Language Models

Differentially Private Federated Learning on Heterogeneous Data

Digital Building Twins and Blockchain for Performance-Based (Smart) Contracts

Privacy, Robustness, and Fairness Trade-offs in Federated Intrusion Detection: Geometric Indistinguishability at the Aggregation Interface

Pufferfish Privacy Mechanisms for Correlated Data

CryptoGuard: High Precision Detection of Cryptographic Vulnerabilities in Massive-sized Java Projects

Privacy Failure in Split-LLM Training, The Returned Gradient Nullifies the Decoys

Quantum security and theory of decoherence

Quantum Attacks on Classical Proof Systems - The Hardness of Quantum Rewinding

OSCAR: Object Security Architecture for the Internet of Things

Using Rough Set and Support Vector Machine for Network Intrusion Detection

Evaluating and Improving Adversarial Robustness of Machine Learning-Based Network Intrusion Detectors

Black-box Adversarial Attacks on Video Recognition Models

STAR-Vote: A Secure, Transparent, Auditable, and Reliable Voting System

PAC it up: Towards Pointer Integrity using ARM Pointer Authentication

Revisiting Membership Inference Under Realistic Assumptions

Robust Website Fingerprinting Through the Cache Occupancy Channel

Security Risk Assessment in Internet of Things Systems

Modeling Realistic Adversarial Attacks against Network Intrusion Detection Systems

Image Encryption Using Differential Evolution Approach in Frequency Domain

Faceless Person Recognition; Privacy Implications in Social Media

Privacy-Preserving Aggregation in Federated Learning: A Survey

Betrayal, Distrust, and Rationality: Smart Counter-Collusion Contracts for Verifiable Cloud Computing

Rethinking the Trigger of Backdoor Attack

An LLM can Fool Itself: A Prompt-Based Adversarial Attack

Decompose to Understand, Fuse to Detect: Frequency-Decoupled Anomaly Detection for Encrypted Network Traffic

EXTRACTOR: Extracting Attack Behavior from Threat Reports

Adversarial Vulnerabilities of Neural Biomarker Identification Systems

LowKey: Leveraging Adversarial Attacks to Protect Social Media Users from Facial Recognition

DaST: Data-free Substitute Training for Adversarial Attacks