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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2,821 to 2,880 of 4,576

Foolbox: A Python toolbox to benchmark the robustness of machine learning models
Jonas Rauber, Wieland Brendel, Matthias Bethge
cs.LGcs.CRcs.CVarXiv:1707.04131v32017
Masked Differential-linear Distinguishers and Quantum Approaches
Shobhit Pandey, Sarbani Sen, Debajyoti Bera +1
quant-phcs.CRarXiv:2608.24799v12026
A Survey of Malware Detection Using Deep Learning
Ahmed Bensaoud, Jugal Kalita, Mahmoud Bensaoud
cs.CRcs.LGarXiv:2407.19153v12024
Differentially Private Release and Learning of Threshold Functions
Mark Bun, Kobbi Nissim, Uri Stemmer +1
cs.CRcs.LGarXiv:1504.07553v22015
Reevaluating Adversarial Examples in Natural Language
John X. Morris, Eli Lifland, Jack Lanchantin +2
cs.CLcs.AIcs.CRarXiv:2004.14174v32020
Internet of Things Security, Device Authentication and Access Control: A Review
Inayat Ali, Sonia Sabir, Zahid Ullah
cs.CRcs.DCarXiv:1901.07309v42019
Cronus: Robust and Heterogeneous Collaborative Learning with Black-Box Knowledge Transfer
Hongyan Chang, Virat Shejwalkar, Reza Shokri +1
stat.MLcs.CRcs.LGarXiv:1912.11279v12019
Cascading Gradient Inversion via LT-Code Inspired Peeling in Federated Learning
Saeed Shariati, Mohsen Alambardar Meybodi
cs.LGcs.AIcs.CRarXiv:2609.09659v12026
SparLeak: Privacy Leakage from Sparse Attention in LLM Inference on Shared GPUs
Fahao Chen, Linkang Du, Jinhao Zhou +2
cs.LGcs.CRarXiv:2609.38830v12026
Gazelle: A Low Latency Framework for Secure Neural Network Inference
Chiraag Juvekar, Vinod Vaikuntanathan, Anantha Chandrakasan
cs.CRarXiv:1801.05507v12018
Building a RAPPOR with the Unknown: Privacy-Preserving Learning of Associations and Data Dictionaries
Giulia Fanti, Vasyl Pihur, Úlfar Erlingsson
cs.CRarXiv:1503.01214v12015
Differential Privacy: on the trade-off between Utility and Information Leakage
Mário S. Alvim, Miguel E. Andrés, Konstantinos Chatzikokolakis +2
cs.CRcs.DBcs.ITarXiv:1103.5188v32011
On Sampling, Anonymization, and Differential Privacy: Or, k-Anonymization Meets Differential Privacy
Ninghui Li, Wahbeh Qardaji, Dong Su
cs.CRarXiv:1101.2604v22011
WASP: Benchmarking Web Agent Security Against Prompt Injection Attacks
Ivan Evtimov, Arman Zharmagambetov, Aaron Grattafiori +2
cs.CRcs.AIarXiv:2504.18575v32025
Send a SCOUT First: Pre-hoc Reasoning for Adaptive Detector Allocation in Prompt-Injection Defense
Shuhao Zhang, Jiarui Li, Qi Cao +2
cs.CRcs.LGarXiv:2605.30837v22026
Teaching an Old LLM Secure Coding: Localized Preference Optimization on Distilled Preferences
Mohammad Saqib Hasan, Saikat Chakraborty, Santu Karmaker +1
cs.CRcs.SEarXiv:2506.00419v22025
Merging Cyber Threat Intelligence Through Retrieval-Augmented Generation and Small Language Models for Rich Threat Representation
Nicola Deidda, Leonardo Regano, Alessandro Sanna +2
cs.CRarXiv:2609.07280v12026
Griotte: Verified Compartmentalisation via Capabilities
June Rousseau, Aïna Linn Georges, Jean Pichon-Pharabod +1
cs.PLcs.CRarXiv:2609.01110v12026
Automatic Verification of Correspondences for Security Protocols
Bruno Blanchet
cs.CRcs.LOarXiv:0802.3444v12008
Sereum: Protecting Existing Smart Contracts Against Re-Entrancy Attacks
Michael Rodler, Wenting Li, Ghassan O. Karame +1
cs.CRarXiv:1812.05934v12018
Differentially Private Grids for Geospatial Data
Wahbeh Qardaji, Weining Yang, Ninghui Li
cs.CRcs.DBarXiv:1209.1322v12012
LightSecAgg: a Lightweight and Versatile Design for Secure Aggregation in Federated Learning
Jinhyun So, Chaoyang He, Chien-Sheng Yang +5
cs.LGcs.CRcs.DCarXiv:2109.14236v32021
CNN-Cert: An Efficient Framework for Certifying Robustness of Convolutional Neural Networks
Akhilan Boopathy, Tsui-Wei Weng, Pin-Yu Chen +2
stat.MLcs.CRcs.LGarXiv:1811.12395v12018
Efficient Neural Network Robustness Certification with General Activation Functions
Huan Zhang, Tsui-Wei Weng, Pin-Yu Chen +2
cs.LGcs.CRstat.MLarXiv:1811.00866v12018
The Instruction Hierarchy: Training LLMs to Prioritize Privileged Instructions
Eric Wallace, Kai Xiao, Reimar Leike +3
cs.CRcs.CLcs.LGarXiv:2404.13208v12024
[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
Evaluating Deep-Search Agents under Hierarchical Web Evidence Poisoning
Zhongan Bi, Qiwen Wang, Jianrong Jiang +11
cs.CRcs.AIcs.IRarXiv:2609.06027v22026
Concentrated Differential Privacy: Simplifications, Extensions, and Lower Bounds
Mark Bun, Thomas Steinke
cs.CRcs.DScs.ITarXiv:1605.02065v12016
A Simple Unified Framework for Detecting Out-of-Distribution Samples and Adversarial Attacks
Kimin Lee, Kibok Lee, Honglak Lee +1
stat.MLcs.CRcs.LGarXiv:1807.03888v22018
Learning from Mutants: Using Code Mutation to Learn and Monitor Invariants of a Cyber-Physical System
Yuqi Chen, Christopher M. Poskitt, Jun Sun
cs.SEcs.CRcs.LGarXiv:1801.00903v22018
Verification of quantum computation: An overview of existing approaches
Alexandru Gheorghiu, Theodoros Kapourniotis, Elham Kashefi
quant-phcs.CRarXiv:1709.06984v22017
Defeating Prompt Injections by Design
Edoardo Debenedetti, Ilia Shumailov, Tianqi Fan +7
cs.CRcs.AIarXiv:2503.18813v22025
Label-Only Membership Inference Attacks
Christopher A. Choquette-Choo, Florian Tramer, Nicholas Carlini +1
cs.CRcs.LGstat.MLarXiv:2007.14321v32020
Misleading Authorship Attribution of Source Code using Adversarial Learning
Erwin Quiring, Alwin Maier, Konrad Rieck
cs.LGcs.CRstat.MLarXiv:1905.12386v22019
Beyond the Mandate: A Systematic Security Analysis of the Agent Payments Protocol (AP2)
Avital Aviv, Parth A. Gandh, Ron Bitton +1
cs.CRcs.AIarXiv:2608.23858v12026
Wireless Physical-Layer Identification: Modeling and Validation
Wenhao Wang, Zhi Sun, Kui Ren +2
cs.CRcs.ITarXiv:1510.08485v22015
A Study of MAC Address Randomization in Mobile Devices and When it Fails
Jeremy Martin, Travis Mayberry, Collin Donahue +5
cs.CRarXiv:1703.02874v22017
Provably Robust Deep Learning via Adversarially Trained Smoothed Classifiers
Hadi Salman, Greg Yang, Jerry Li +4
cs.LGcs.CRstat.MLarXiv:1906.04584v52019
A StrongREJECT for Empty Jailbreaks
Alexandra Souly, Qingyuan Lu, Dillon Bowen +8
cs.LGcs.CLcs.CRarXiv:2402.10260v22024
Flip, Don't Shuffle: Watermarking LLMs at the Speed of Inference
Simone Ceppi, Ignacio Sanchez
cs.CRcs.CLcs.LGarXiv:2609.03844v12026
Practical Secrets Extraction against Black-box LLMs
Shiqian Zhao, Siwei Jiang, Xinfeng Li +5
cs.CRarXiv:2609.36941v12026
Tracing Information Flows Between Ad Exchanges Using Retargeted Ads
Muhammad Ahmad Bashir, Sajjad Arshad, William Robertson +1
cs.CRarXiv:1811.00920v22018
IPGuard: Protecting Intellectual Property of Deep Neural Networks via Fingerprinting the Classification Boundary
Xiaoyu Cao, Jinyuan Jia, Neil Zhenqiang Gong
cs.CRcs.AIcs.LGarXiv:1910.12903v52019
Keeping the Smart Home Private with Smart(er) IoT Traffic Shaping
Noah Apthorpe, Danny Yuxing Huang, Dillon Reisman +2
cs.CRarXiv:1812.00955v22018
Benchmarking Knowledge-Extraction Attack and Defense on Retrieval-Augmented Generation
Zhisheng Qi, Utkarsh Sahu, Li Ma +9
cs.CRarXiv:2602.09319v32026
A Trustworthy Watermarking Framework for LLM-Generated Food Safety Content
Zhongli Fang, Yiran Chen, Lingyun Zhang +4
cs.CRcs.AIarXiv:2609.06708v12026
The Attack and Defense Landscape of Agentic AI: A Comprehensive Survey
Juhee Kim, Xiaoyuan Liu, Zhun Wang +4
cs.CRcs.AIarXiv:2603.11088v12026
Cloud-Based Approximate Constrained Shortest Distance Queries Over Encrypted Graphs With Privacy Protection
Meng Shen, Baoli Ma, Liehuang Zhu +3
cs.CRarXiv:1809.07912v12018
Data mining for detecting Bitcoin Ponzi schemes
Massimo Bartoletti, Barbara Pes, Sergio Serusi
cs.CRarXiv:1803.00646v12018
NeuronFuzz: Safety Neuron Guided Fuzzing for LLM Safety Evaluation
Zhiyuan Xu, Muhammad Firhard Roslan, Joseph Gardiner +2
cs.LGcs.AIcs.CRarXiv:2608.26222v12026
Theory and Practice of Finding Eviction Sets
Pepe Vila, Boris Köpf, José Francisco Morales
cs.CRarXiv:1810.01497v22018
Concentrated Differential Privacy
Cynthia Dwork, Guy N. Rothblum
cs.DScs.CRarXiv:1603.01887v22016
Agent Skills in the Wild: An Empirical Study of Security Vulnerabilities at Scale
Yi Liu, Weizhe Wang, Ruitao Feng +5
cs.CRcs.AIcs.CLarXiv:2601.10338v12026
Android HIV: A Study of Repackaging Malware for Evading Machine-Learning Detection
Xiao Chen, Chaoran Li, Derui Wang +5
cs.CRarXiv:1808.04218v42018
SxSSD: A Secure and Extensible Software-defined Solid State Drive
Josh Dafoe, Bo Chen
cs.CRcs.OSarXiv:2608.23365v12026
s2n-bignum-bench: A practical benchmark for evaluating low-level code reasoning of LLMs
Balaji Rao, John Harrison, Soonho Kong +2
cs.PLcs.AIcs.CRarXiv:2603.14628v22026
Square Attack: a query-efficient black-box adversarial attack via random search
Maksym Andriushchenko, Francesco Croce, Nicolas Flammarion +1
cs.LGcs.CRcs.CVarXiv:1912.00049v32019
PISmith: Reinforcement Learning-based Red Teaming for Prompt Injection Defenses
Chenlong Yin, Runpeng Geng, Yanting Wang +1
cs.LGcs.CRarXiv:2603.13026v22026
Meta SecAlign: A Secure Foundation LLM Against Prompt Injection Attacks
Sizhe Chen, Arman Zharmagambetov, David Wagner +1
cs.CRcs.AIarXiv:2507.02735v32025
LDP-Fed: Federated Learning with Local Differential Privacy
Stacey Truex, Ling Liu, Ka-Ho Chow +2
cs.LGcs.CRstat.MLarXiv:2006.03637v12020

Cryptography and Security

Foolbox: A Python toolbox to benchmark the robustness of machine learning models

Masked Differential-linear Distinguishers and Quantum Approaches

A Survey of Malware Detection Using Deep Learning

Differentially Private Release and Learning of Threshold Functions

Reevaluating Adversarial Examples in Natural Language

Internet of Things Security, Device Authentication and Access Control: A Review

Cronus: Robust and Heterogeneous Collaborative Learning with Black-Box Knowledge Transfer

Cascading Gradient Inversion via LT-Code Inspired Peeling in Federated Learning

SparLeak: Privacy Leakage from Sparse Attention in LLM Inference on Shared GPUs

Gazelle: A Low Latency Framework for Secure Neural Network Inference

Building a RAPPOR with the Unknown: Privacy-Preserving Learning of Associations and Data Dictionaries

Differential Privacy: on the trade-off between Utility and Information Leakage

On Sampling, Anonymization, and Differential Privacy: Or, k-Anonymization Meets Differential Privacy

WASP: Benchmarking Web Agent Security Against Prompt Injection Attacks

Send a SCOUT First: Pre-hoc Reasoning for Adaptive Detector Allocation in Prompt-Injection Defense

Teaching an Old LLM Secure Coding: Localized Preference Optimization on Distilled Preferences

Merging Cyber Threat Intelligence Through Retrieval-Augmented Generation and Small Language Models for Rich Threat Representation

Griotte: Verified Compartmentalisation via Capabilities

Automatic Verification of Correspondences for Security Protocols

Sereum: Protecting Existing Smart Contracts Against Re-Entrancy Attacks

Differentially Private Grids for Geospatial Data

LightSecAgg: a Lightweight and Versatile Design for Secure Aggregation in Federated Learning

CNN-Cert: An Efficient Framework for Certifying Robustness of Convolutional Neural Networks

Efficient Neural Network Robustness Certification with General Activation Functions

The Instruction Hierarchy: Training LLMs to Prioritize Privileged Instructions

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

Evaluating Deep-Search Agents under Hierarchical Web Evidence Poisoning

Concentrated Differential Privacy: Simplifications, Extensions, and Lower Bounds

A Simple Unified Framework for Detecting Out-of-Distribution Samples and Adversarial Attacks

Learning from Mutants: Using Code Mutation to Learn and Monitor Invariants of a Cyber-Physical System

Verification of quantum computation: An overview of existing approaches

Defeating Prompt Injections by Design

Label-Only Membership Inference Attacks

Misleading Authorship Attribution of Source Code using Adversarial Learning

Beyond the Mandate: A Systematic Security Analysis of the Agent Payments Protocol (AP2)

Wireless Physical-Layer Identification: Modeling and Validation

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

Provably Robust Deep Learning via Adversarially Trained Smoothed Classifiers

A StrongREJECT for Empty Jailbreaks

Flip, Don't Shuffle: Watermarking LLMs at the Speed of Inference

Practical Secrets Extraction against Black-box LLMs

Tracing Information Flows Between Ad Exchanges Using Retargeted Ads

IPGuard: Protecting Intellectual Property of Deep Neural Networks via Fingerprinting the Classification Boundary

Keeping the Smart Home Private with Smart(er) IoT Traffic Shaping

Benchmarking Knowledge-Extraction Attack and Defense on Retrieval-Augmented Generation

A Trustworthy Watermarking Framework for LLM-Generated Food Safety Content

The Attack and Defense Landscape of Agentic AI: A Comprehensive Survey

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

Data mining for detecting Bitcoin Ponzi schemes

NeuronFuzz: Safety Neuron Guided Fuzzing for LLM Safety Evaluation

Theory and Practice of Finding Eviction Sets

Concentrated Differential Privacy

Agent Skills in the Wild: An Empirical Study of Security Vulnerabilities at Scale

Android HIV: A Study of Repackaging Malware for Evading Machine-Learning Detection

SxSSD: A Secure and Extensible Software-defined Solid State Drive

s2n-bignum-bench: A practical benchmark for evaluating low-level code reasoning of LLMs

Square Attack: a query-efficient black-box adversarial attack via random search

PISmith: Reinforcement Learning-based Red Teaming for Prompt Injection Defenses

Meta SecAlign: A Secure Foundation LLM Against Prompt Injection Attacks

LDP-Fed: Federated Learning with Local Differential Privacy