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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1,981 to 2,040 of 2,547

Semidefinite relaxations for certifying robustness to adversarial examples
Aditi Raghunathan, Jacob Steinhardt, Percy Liang
cs.LGcs.CRstat.MLarXiv:1811.01057v12018
ARMageddon: Cache Attacks on Mobile Devices
Moritz Lipp, Daniel Gruss, Raphael Spreitzer +2
cs.CRarXiv:1511.04897v22015
Enigma: Decentralized Computation Platform with Guaranteed Privacy
Guy Zyskind, Oz Nathan, Alex Pentland
cs.CRcs.DCarXiv:1506.03471v12015
Towards Robust Neural Networks via Random Self-ensemble
Xuanqing Liu, Minhao Cheng, Huan Zhang +1
cs.LGcs.CRstat.MLarXiv:1712.00673v22017
LogBERT: Log Anomaly Detection via BERT
Haixuan Guo, Shuhan Yuan, Xintao Wu
cs.CRarXiv:2103.04475v12021
Rowhammer.js: A Remote Software-Induced Fault Attack in JavaScript
Daniel Gruss, Clémentine Maurice, Stefan Mangard
cs.CRarXiv:1507.06955v52015
Amnesiac Machine Learning
Laura Graves, Vineel Nagisetty, Vijay Ganesh
cs.LGcs.AIcs.CRarXiv:2010.10981v12020
The Instruction Hierarchy: Training LLMs to Prioritize Privileged Instructions
Eric Wallace, Kai Xiao, Reimar Leike +3
cs.CRcs.CLcs.LGarXiv:2404.13208v12024
Efficient Decision-based Black-box Adversarial Attacks on Face Recognition
Yinpeng Dong, Hang Su, Baoyuan Wu +4
cs.CVcs.CRcs.LGarXiv:1904.04433v12019
Stealing Reasoning Traces from Proprietary LLM APIs
Alexander Panfilov, David Schmotz, Ilia Shumailov +5
cs.CRcs.AIcs.LGarXiv:2608.09867v12026
Summaries:한국어
Safety Alignment Should Be Made More Than Just a Few Tokens Deep
Xiangyu Qi, Ashwinee Panda, Kaifeng Lyu +5
cs.CRcs.AIarXiv:2406.05946v12024
Tactics of Adversarial Attack on Deep Reinforcement Learning Agents
Yen-Chen Lin, Zhang-Wei Hong, Yuan-Hong Liao +3
cs.LGcs.CRstat.MLarXiv:1703.06748v42017
MemGuard: Defending against Black-Box Membership Inference Attacks via Adversarial Examples
Jinyuan Jia, Ahmed Salem, Michael Backes +2
cs.CRcs.LGarXiv:1909.10594v32019
A Semi-supervised Graph Attentive Network for Financial Fraud Detection
Daixin Wang, Jianbin Lin, Peng Cui +7
cs.SIcs.CRcs.LGarXiv:2003.01171v12020
FairFuzz: Targeting Rare Branches to Rapidly Increase Greybox Fuzz Testing Coverage
Caroline Lemieux, Koushik Sen
cs.SEcs.CRarXiv:1709.07101v12017
High Accuracy and High Fidelity Extraction of Neural Networks
Matthew Jagielski, Nicholas Carlini, David Berthelot +2
cs.LGcs.CRstat.MLarXiv:1909.01838v22019
ShapeShifter: Robust Physical Adversarial Attack on Faster R-CNN Object Detector
Shang-Tse Chen, Cory Cornelius, Jason Martin +1
cs.CVcs.CRcs.LGarXiv:1804.05810v32018
A Survey on Blockchain for Big Data: Approaches, Opportunities, and Future Directions
Natarajan Deepa, Quoc-Viet Pham, Dinh C. Nguyen +6
cs.CRcs.DCarXiv:2009.00858v22020
Threat analysis of IoT networks Using Artificial Neural Network Intrusion Detection System
Elike Hodo, Xavier Bellekens, Andrew Hamilton +4
cs.NEcs.CRarXiv:1704.02286v12017
On the Geometry of Differential Privacy
Moritz Hardt, Kunal Talwar
cs.CCcs.CRcs.DSarXiv:0907.3754v32009
BanglaVeilGuard: Cross-Script Safety Benchmarking and Lightweight Guardrails for Bangla Large Language Models
Md. Rakibul Hassan, Muhammad Iqbal Hossain
cs.CLcs.CRarXiv:2608.21880v12026
Crafting Adversarial Input Sequences for Recurrent Neural Networks
Nicolas Papernot, Patrick McDaniel, Ananthram Swami +1
cs.CRcs.LGcs.NEarXiv:1604.08275v12016
Hacking Smart Machines with Smarter Ones: How to Extract Meaningful Data from Machine Learning Classifiers
Giuseppe Ateniese, Giovanni Felici, Luigi V. Mancini +3
cs.CRcs.LGstat.MLarXiv:1306.4447v12013
MCSI: A Masked Commutative Supersingular Isogeny Key Exchange with Blinded Ephemeral Keys
Furkan Cifci, Osman Emre Donder, Reyyan Cifci
cs.CRmath.NTarXiv:2608.22360v12026
Mitigating Explanation Leakage in Financial Fraud Detection Systems
Muhammad Waleed Gul, Elaheh Homayounvala
cs.LGcs.CRarXiv:2608.22607v12026
KONTOGRAPH: Verified Point-in-Time Feature Consistency and Amortised Explanation for Real-Time Anti-Money Laundering under a 200 ms Decision Budget
Ahmed Abolfadl
cs.CRcs.AIcs.LGarXiv:2608.22389v12026
Privacy Amplification by Subsampling: Tight Analyses via Couplings and Divergences
Borja Balle, Gilles Barthe, Marco Gaboardi
cs.LGcs.CRstat.MLarXiv:1807.01647v22018
Multi-step Jailbreaking Privacy Attacks on ChatGPT
Haoran Li, Dadi Guo, Wei Fan +4
cs.CLcs.CRarXiv:2304.05197v32023
A generic framework for privacy preserving deep learning
Theo Ryffel, Andrew Trask, Morten Dahl +4
cs.LGcs.CRstat.MLarXiv:1811.04017v22018
Concentrated Differential Privacy
Cynthia Dwork, Guy N. Rothblum
cs.DScs.CRarXiv:1603.01887v22016
Slalom: Fast, Verifiable and Private Execution of Neural Networks in Trusted Hardware
Florian Tramèr, Dan Boneh
stat.MLcs.CRcs.LGarXiv:1806.03287v22018
Deepfakes Generation and Detection: State-of-the-art, open challenges, countermeasures, and way forward
Momina Masood, Marriam Nawaz, Khalid Mahmood Malik +2
cs.CRcs.LGcs.SDarXiv:2103.00484v22021
Subsampled Rényi Differential Privacy and Analytical Moments Accountant
Yu-Xiang Wang, Borja Balle, Shiva Kasiviswanathan
cs.LGcs.CRstat.MLarXiv:1808.00087v22018
InjecAgent: Benchmarking Indirect Prompt Injections in Tool-Integrated Large Language Model Agents
Qiusi Zhan, Zhixiang Liang, Zifan Ying +1
cs.CLcs.CRarXiv:2403.02691v32024
Detecting Language Model Attacks with Perplexity
Gabriel Alon, Michael Kamfonas
cs.CLcs.AIcs.CRarXiv:2308.14132v32023
Towards the Science of Security and Privacy in Machine Learning
Nicolas Papernot, Patrick McDaniel, Arunesh Sinha +1
cs.CRcs.LGarXiv:1611.03814v12016
Jailbreak and Guard Aligned Language Models with Only Few In-Context Demonstrations
Zeming Wei, Yifei Wang, Ang Li +2
cs.LGcs.AIcs.CLarXiv:2310.06387v32023
Cyber Security in the Age of COVID-19: A Timeline and Analysis of Cyber-Crime and Cyber-Attacks during the Pandemic
Harjinder Singh Lallie, Lynsay A. Shepherd, Jason R. C. Nurse +4
cs.CRcs.CYcs.HCarXiv:2006.11929v12020
Consensus in the Age of Blockchains
Shehar Bano, Alberto Sonnino, Mustafa Al-Bassam +4
cs.CRarXiv:1711.03936v22017
Stealing Hyperparameters in Machine Learning
Binghui Wang, Neil Zhenqiang Gong
cs.CRcs.LGstat.MLarXiv:1802.05351v32018
Local, Private, Efficient Protocols for Succinct Histograms
Raef Bassily, Adam Smith
cs.CRcs.DScs.LGarXiv:1504.04686v12015
Systematic Evaluation of Privacy Risks of Machine Learning Models
Liwei Song, Prateek Mittal
cs.CRcs.LGstat.MLarXiv:2003.10595v22020
Amplification by Shuffling: From Local to Central Differential Privacy via Anonymity
Úlfar Erlingsson, Vitaly Feldman, Ilya Mironov +3
cs.LGcs.CRcs.DSarXiv:1811.12469v22018
Governing autonomous vehicles: emerging responses for safety, liability, privacy, cybersecurity, and industry risks
Araz Taeihagh, Hazel Si Min Lim
cs.CYcs.AIcs.CRarXiv:1807.05720v12018
Differential Privacy Techniques for Cyber Physical Systems: A Survey
Muneeb Ul Hassan, Mubashir Husain Rehmani, Jinjun Chen
cs.CRarXiv:1812.02282v32018
Evaluating the Robustness of Neural Networks: An Extreme Value Theory Approach
Tsui-Wei Weng, Huan Zhang, Pin-Yu Chen +5
stat.MLcs.CRcs.LGarXiv:1801.10578v12018
A Survey of COVID-19 Contact Tracing Apps
Nadeem Ahmed, Regio A. Michelin, Wanli Xue +7
cs.CRarXiv:2006.10306v32020
Summaries:한국어 日本語
Security and Privacy Challenges of Large Language Models: A Survey
Badhan Chandra Das, M. Hadi Amini, Yanzhao Wu
cs.CLcs.AIcs.CRarXiv:2402.00888v22024
DRAMA: Exploiting DRAM Addressing for Cross-CPU Attacks
Peter Pessl, Daniel Gruss, Clémentine Maurice +2
cs.CRarXiv:1511.08756v42015
Differentially Private Fine-tuning of Language Models
Da Yu, Saurabh Naik, Arturs Backurs +9
cs.LGcs.CLcs.CRarXiv:2110.06500v22021
Towards Secure Blockchain-enabled Internet of Vehicles: Optimizing Consensus Management Using Reputation and Contract Theory
Jiawen Kang, Zehui Xiong, Dusit Niyato +3
cs.CRcs.GTarXiv:1809.08387v12018
The Curse of Recursion: Training on Generated Data Makes Models Forget
Ilia Shumailov, Zakhar Shumaylov, Yiren Zhao +3
cs.LGcs.AIcs.CLarXiv:2305.17493v32023
Label-Consistent Backdoor Attacks
Alexander Turner, Dimitris Tsipras, Aleksander Madry
stat.MLcs.CRcs.LGarXiv:1912.02771v22019
Decentralized Federated Learning: Fundamentals, State of the Art, Frameworks, Trends, and Challenges
Enrique Tomás Martínez Beltrán, Mario Quiles Pérez, Pedro Miguel Sánchez Sánchez +5
cs.LGcs.CRcs.DCarXiv:2211.08413v52022
Static Detection of Post-Quantum Cryptographic Algorithms in Stripped Binaries for Digital Forensic Examination and Migration Assurance
Muhammad Shaheer Bin Junaid
cs.CRarXiv:2608.25122v12026
CA-less Mutual Co-Signing of Documents over a Unidirectional Visual Channel with Transported Hardware Attestation
Dmytro Diikun
cs.CRarXiv:2608.25144v12026
Semantic Overlays: Mitigating Prompt Injection with Annotations Beyond Tokens and Steering Vectors
Joshua Penman
cs.AIcs.CLcs.CRarXiv:2608.23873v12026
When "Do Not" Is Not Deny: Security Rules in CLAUDE.md vs Built-In Controls
Ting Yan
cs.HCcs.CRarXiv:2608.23550v12026
Verification-Guided Specification Synthesis with Large Language Models for Intrusion Detection Rules
Kohei Yamamoto, Marie Katsurai
cs.CRarXiv:2608.22889v12026
Adversarial Entropy Inflation Against Gumbel-Based Inference Verification
Nikita Kezins
cs.CRcs.AIarXiv:2608.23375v12026

Cryptography and Security

Semidefinite relaxations for certifying robustness to adversarial examples

ARMageddon: Cache Attacks on Mobile Devices

Enigma: Decentralized Computation Platform with Guaranteed Privacy

Towards Robust Neural Networks via Random Self-ensemble

LogBERT: Log Anomaly Detection via BERT

Rowhammer.js: A Remote Software-Induced Fault Attack in JavaScript

Amnesiac Machine Learning

The Instruction Hierarchy: Training LLMs to Prioritize Privileged Instructions

Efficient Decision-based Black-box Adversarial Attacks on Face Recognition

Stealing Reasoning Traces from Proprietary LLM APIs

Safety Alignment Should Be Made More Than Just a Few Tokens Deep

Tactics of Adversarial Attack on Deep Reinforcement Learning Agents

MemGuard: Defending against Black-Box Membership Inference Attacks via Adversarial Examples

A Semi-supervised Graph Attentive Network for Financial Fraud Detection

FairFuzz: Targeting Rare Branches to Rapidly Increase Greybox Fuzz Testing Coverage

High Accuracy and High Fidelity Extraction of Neural Networks

ShapeShifter: Robust Physical Adversarial Attack on Faster R-CNN Object Detector

A Survey on Blockchain for Big Data: Approaches, Opportunities, and Future Directions

Threat analysis of IoT networks Using Artificial Neural Network Intrusion Detection System

On the Geometry of Differential Privacy

BanglaVeilGuard: Cross-Script Safety Benchmarking and Lightweight Guardrails for Bangla Large Language Models

Crafting Adversarial Input Sequences for Recurrent Neural Networks

Hacking Smart Machines with Smarter Ones: How to Extract Meaningful Data from Machine Learning Classifiers

MCSI: A Masked Commutative Supersingular Isogeny Key Exchange with Blinded Ephemeral Keys

Mitigating Explanation Leakage in Financial Fraud Detection Systems

KONTOGRAPH: Verified Point-in-Time Feature Consistency and Amortised Explanation for Real-Time Anti-Money Laundering under a 200 ms Decision Budget

Privacy Amplification by Subsampling: Tight Analyses via Couplings and Divergences

Multi-step Jailbreaking Privacy Attacks on ChatGPT

A generic framework for privacy preserving deep learning

Concentrated Differential Privacy

Slalom: Fast, Verifiable and Private Execution of Neural Networks in Trusted Hardware

Deepfakes Generation and Detection: State-of-the-art, open challenges, countermeasures, and way forward

Subsampled Rényi Differential Privacy and Analytical Moments Accountant

InjecAgent: Benchmarking Indirect Prompt Injections in Tool-Integrated Large Language Model Agents

Detecting Language Model Attacks with Perplexity

Towards the Science of Security and Privacy in Machine Learning

Jailbreak and Guard Aligned Language Models with Only Few In-Context Demonstrations

Cyber Security in the Age of COVID-19: A Timeline and Analysis of Cyber-Crime and Cyber-Attacks during the Pandemic

Consensus in the Age of Blockchains

Stealing Hyperparameters in Machine Learning

Local, Private, Efficient Protocols for Succinct Histograms

Systematic Evaluation of Privacy Risks of Machine Learning Models

Amplification by Shuffling: From Local to Central Differential Privacy via Anonymity

Governing autonomous vehicles: emerging responses for safety, liability, privacy, cybersecurity, and industry risks

Differential Privacy Techniques for Cyber Physical Systems: A Survey

Evaluating the Robustness of Neural Networks: An Extreme Value Theory Approach

A Survey of COVID-19 Contact Tracing Apps

Security and Privacy Challenges of Large Language Models: A Survey

DRAMA: Exploiting DRAM Addressing for Cross-CPU Attacks

Differentially Private Fine-tuning of Language Models

Towards Secure Blockchain-enabled Internet of Vehicles: Optimizing Consensus Management Using Reputation and Contract Theory

The Curse of Recursion: Training on Generated Data Makes Models Forget

Label-Consistent Backdoor Attacks

Decentralized Federated Learning: Fundamentals, State of the Art, Frameworks, Trends, and Challenges

Static Detection of Post-Quantum Cryptographic Algorithms in Stripped Binaries for Digital Forensic Examination and Migration Assurance

CA-less Mutual Co-Signing of Documents over a Unidirectional Visual Channel with Transported Hardware Attestation

Semantic Overlays: Mitigating Prompt Injection with Annotations Beyond Tokens and Steering Vectors

When "Do Not" Is Not Deny: Security Rules in CLAUDE.md vs Built-In Controls

Verification-Guided Specification Synthesis with Large Language Models for Intrusion Detection Rules

Adversarial Entropy Inflation Against Gumbel-Based Inference Verification