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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1,621 to 1,680 of 2,568

Lightweight Classification of IoT Malware based on Image Recognition
Jiawei Su, Danilo Vasconcellos Vargas, Sanjiva Prasad +3
cs.CRcs.CVarXiv:1802.03714v12018
CAITLYN: Can LLM Agents Autonomously Synthesize Defenses against Emerging Injection Attacks?
Zi Liang, Xiaoyu Xu, Yanyun Wang +3
cs.CRcs.AIarXiv:2608.27990v12026
Not to Break, but to Attest: Adversarial Probes for Privacy-Preserving LLM Verification
Cameron Wilding, Mina Shaker, Fatemeh Ganji
cs.CRcs.AIcs.LGarXiv:2608.27954v12026
VulDeeLocator: A Deep Learning-based Fine-grained Vulnerability Detector
Zhen Li, Deqing Zou, Shouhuai Xu +3
cs.CRarXiv:2001.02350v22020
Terminal Brain Damage: Exposing the Graceless Degradation in Deep Neural Networks Under Hardware Fault Attacks
Sanghyun Hong, Pietro Frigo, Yiğitcan Kaya +2
cs.CRcs.LGarXiv:1906.01017v12019
Differentially Private Grids for Geospatial Data
Wahbeh Qardaji, Weining Yang, Ninghui Li
cs.CRcs.DBarXiv:1209.1322v12012
FISGuard: Defending Against Membership Inference via Fixed Input Subspaces
Haocheng Jiang, Hua Shen
cs.CRcs.AIcs.DCarXiv:2608.27836v12026
ContextLeak: Exfiltrating LLM Agent Context via Malicious Tools
Yuqi Jia, Ruiqi Wang, Patrick Li +3
cs.CRcs.AIarXiv:2608.27800v12026
Torchattacks: A PyTorch Repository for Adversarial Attacks
Hoki Kim
cs.LGcs.AIcs.CRarXiv:2010.01950v32020
Federated Learning for Privacy Preservation in Smart Healthcare Systems: A Comprehensive Survey
Mansoor Ali, Faisal Naeem, Muhammad Tariq +1
eess.SYcs.CRcs.LGarXiv:2203.09702v12022
Collective Anomaly Detection based on Long Short Term Memory Recurrent Neural Network
Loic Bontemps, Van Loi Cao, James McDermott +1
cs.LGcs.CRarXiv:1703.09752v12017
Semantic Watermarking with Order-Robust Detection over Sub-sentence Units
Abdulrahman Diaa, Jonathan Petit, Florian Kerschbaum
cs.CRcs.AIcs.CLarXiv:2608.27666v12026
Unlearnable Examples: Making Personal Data Unexploitable
Hanxun Huang, Xingjun Ma, Sarah Monazam Erfani +2
cs.LGcs.CRcs.CVarXiv:2101.04898v22021
Quantization-Triggered Backdoors in Language Models: Cross-Quantizer Transferability and the Validation--Deployment Gap
Jacopo Dardini, Claudio Stanzione, Giordano Colò +1
cs.LGcs.AIcs.CLarXiv:2608.27512v12026
SMoTherSpectre: exploiting speculative execution through port contention
Atri Bhattacharyya, Alexandra Sandulescu, Matthias Neugschwandtner +4
cs.CRarXiv:1903.01843v32019
AI Agents Under Threat: A Survey of Key Security Challenges and Future Pathways
Zehang Deng, Yongjian Guo, Changzhou Han +4
cs.CRcs.AIarXiv:2406.02630v22024
Authentication Protocols for Internet of Things: A Comprehensive Survey
Mohamed Amine Ferrag, Leandros A. Maglaras, Helge Janicke +1
cs.CRarXiv:1612.07206v12016
Countering Gattaca: Efficient and Secure Testing of Fully-Sequenced Human Genomes (Full Version)
Pierre Baldi, Roberta Baronio, Emiliano De Cristofaro +2
cs.CRcs.CEarXiv:1110.2478v32011
LDP-FL: Practical Private Aggregation in Federated Learning with Local Differential Privacy
Lichao Sun, Jianwei Qian, Xun Chen
cs.CRcs.LGarXiv:2007.15789v22020
Houdini: Fooling Deep Structured Prediction Models
Moustapha Cisse, Yossi Adi, Natalia Neverova +1
stat.MLcs.AIcs.CRarXiv:1707.05373v12017
Early Stage Malware Prediction Using Recurrent Neural Networks
Matilda Rhode, Pete Burnap, Kevin Jones
cs.CRarXiv:1708.03513v32017
SoK: Transparent Dishonesty: front-running attacks on Blockchain
Shayan Eskandari, Seyedehmahsa Moosavi, Jeremy Clark
cs.CRcs.CYcs.SIarXiv:1902.05164v32019
Backdoor Attacks to Graph Neural Networks
Zaixi Zhang, Jinyuan Jia, Binghui Wang +1
cs.CRcs.LGarXiv:2006.11165v42020
Undetectable Watermarks for Language Models
Miranda Christ, Sam Gunn, Or Zamir
cs.CRcs.CLcs.LGarXiv:2306.09194v12023
Adversarial Machine Learning -- Industry Perspectives
Ram Shankar Siva Kumar, Magnus Nyström, John Lambert +5
cs.CYcs.CRcs.LGarXiv:2002.05646v32020
CrypTFlow: Secure TensorFlow Inference
Nishant Kumar, Mayank Rathee, Nishanth Chandran +3
cs.CRcs.LGcs.PLarXiv:1909.07814v22019
Automotive HSMs - Architectural Challenges and Security Implications
Krishna Teja Medam, Austin Bruce
cs.CRcs.ARcs.ETarXiv:2608.25216v12026
A Survey on Ransomware: Evolution, Taxonomy, and Defense Solutions
Harun Oz, Ahmet Aris, Albert Levi +1
cs.CRarXiv:2102.06249v22021
The Privacy Blanket of the Shuffle Model
Borja Balle, James Bell, Adria Gascon +1
cs.LGcs.CRstat.MLarXiv:1903.02837v22019
Foolbox: A Python toolbox to benchmark the robustness of machine learning models
Jonas Rauber, Wieland Brendel, Matthias Bethge
cs.LGcs.CRcs.CVarXiv:1707.04131v32017
Survey of Vulnerabilities in Large Language Models Revealed by Adversarial Attacks
Erfan Shayegani, Md Abdullah Al Mamun, Yu Fu +3
cs.CLcs.CRcs.LGarXiv:2310.10844v12023
Biometric Face Presentation Attack Detection with Multi-Channel Convolutional Neural Network
Anjith George, Zohreh Mostaani, David Geissenbuhler +3
cs.CVcs.CRarXiv:1909.08848v12019
Defending against Phishing Attacks: Taxonomy of Methods, Current Issues and Future Directions
B. B. Gupta, Nalin Asanka Gamagedara Arachchilage, Konstantinos E. Psannis
cs.CRarXiv:1705.09819v12017
A Survey on Intelligent Internet of Things: Applications, Security, Privacy, and Future Directions
Ons Aouedi, Thai-Hoc Vu, Alessio Sacco +4
cs.NIcs.AIcs.CRarXiv:2406.03820v22024
Var-CNN: A Data-Efficient Website Fingerprinting Attack Based on Deep Learning
Sanjit Bhat, David Lu, Albert Kwon +1
cs.CRcs.LGarXiv:1802.10215v22018
Challenges and Opportunities in Securing the Industrial Internet of Things
Martin Serror, Sacha Hack, Martin Henze +2
cs.CRcs.NIarXiv:2111.11714v12021
Stronger Data Poisoning Attacks Break Data Sanitization Defenses
Pang Wei Koh, Jacob Steinhardt, Percy Liang
stat.MLcs.CRcs.LGarXiv:1811.00741v22018
Can LLM-Generated Misinformation Be Detected?
Canyu Chen, Kai Shu
cs.CLcs.AIcs.CRarXiv:2309.13788v52023
Differentially Private Iterative Synchronous Consensus
Zhenqi Huang, Sayan Mitra, Geir Dullerud
cs.CRcs.DCeess.SYarXiv:1207.4262v22012
Keeping Authorities "Honest or Bust" with Decentralized Witness Cosigning
Ewa Syta, Iulia Tamas, Dylan Visher +6
cs.CRarXiv:1503.08768v42015
PoisonedRAG: Knowledge Corruption Attacks to Retrieval-Augmented Generation of Large Language Models
Wei Zou, Runpeng Geng, Binghui Wang +1
cs.CRcs.LGarXiv:2402.07867v32024
Learning to Detect Malicious Clients for Robust Federated Learning
Suyi Li, Yong Cheng, Wei Wang +2
cs.LGcs.CRstat.MLarXiv:2002.00211v12020
Interactive Privacy via the Median Mechanism
Aaron Roth, Tim Roughgarden
cs.CRcs.CCcs.DBarXiv:0911.1813v22009
SafeDecoding: Defending against Jailbreak Attacks via Safety-Aware Decoding
Zhangchen Xu, Fengqing Jiang, Luyao Niu +3
cs.CRcs.AIcs.CLarXiv:2402.08983v42024
Comprehensive Privacy Analysis of Deep Learning: Passive and Active White-box Inference Attacks against Centralized and Federated Learning
Milad Nasr, Reza Shokri, Amir Houmansadr
stat.MLcs.CRcs.LGarXiv:1812.00910v22018
Overcoming Forgetting in Federated Learning on Non-IID Data
Neta Shoham, Tomer Avidor, Aviv Keren +4
cs.LGcs.CRstat.MLarXiv:1910.07796v12019
Rethinking the Backdoor Attacks' Triggers: A Frequency Perspective
Yi Zeng, Won Park, Z. Morley Mao +1
cs.LGcs.CRarXiv:2104.03413v42021
Rademacher Complexity for Adversarially Robust Generalization
Dong Yin, Kannan Ramchandran, Peter Bartlett
cs.LGcs.CRcs.NEarXiv:1810.11914v42018
DDoS Attacks in Cloud Computing: Issues, Taxonomy, and Future Directions
Gaurav Somani, Manoj Singh Gaur, Dheeraj Sanghi +2
cs.CRarXiv:1512.08187v22015
Prochlo: Strong Privacy for Analytics in the Crowd
Andrea Bittau, Úlfar Erlingsson, Petros Maniatis +7
cs.CRarXiv:1710.00901v12017
Unlocking High-Accuracy Differentially Private Image Classification through Scale
Soham De, Leonard Berrada, Jamie Hayes +2
cs.LGcs.CRcs.CVarXiv:2204.13650v22022
NO Need to Worry about Adversarial Examples in Object Detection in Autonomous Vehicles
Jiajun Lu, Hussein Sibai, Evan Fabry +1
cs.CVcs.AIcs.CRarXiv:1707.03501v12017
Distributed Statistical Machine Learning in Adversarial Settings: Byzantine Gradient Descent
Yudong Chen, Lili Su, Jiaming Xu
cs.DCcs.CRcs.LGarXiv:1705.05491v22017
Cache Telepathy: Leveraging Shared Resource Attacks to Learn DNN Architectures
Mengjia Yan, Christopher Fletcher, Josep Torrellas
cs.DCcs.CRcs.LGarXiv:1808.04761v12018
Precision Health Data: Requirements, Challenges and Existing Techniques for Data Security and Privacy
Chandra Thapa, Seyit Camtepe
cs.CRcs.AIarXiv:2008.10733v12020
Android HIV: A Study of Repackaging Malware for Evading Machine-Learning Detection
Xiao Chen, Chaoran Li, Derui Wang +5
cs.CRarXiv:1808.04218v42018
Secure State Estimation For Cyber Physical Systems Under Sensor Attacks: A Satisfiability Modulo Theory Approach
Yasser Shoukry, Pierluigi Nuzzo, Alberto Puggelli +3
math.OCcs.CRcs.ITarXiv:1412.4324v22014
Differentially Private Model Publishing for Deep Learning
Lei Yu, Ling Liu, Calton Pu +2
cs.CRcs.LGarXiv:1904.02200v52019
Differential Privacy and Machine Learning: a Survey and Review
Zhanglong Ji, Zachary C. Lipton, Charles Elkan
cs.LGcs.CRcs.DBarXiv:1412.7584v12014
Knock Knock, Who's There? Membership Inference on Aggregate Location Data
Apostolos Pyrgelis, Carmela Troncoso, Emiliano De Cristofaro
cs.CRarXiv:1708.06145v22017

Cryptography and Security

Lightweight Classification of IoT Malware based on Image Recognition

CAITLYN: Can LLM Agents Autonomously Synthesize Defenses against Emerging Injection Attacks?

Not to Break, but to Attest: Adversarial Probes for Privacy-Preserving LLM Verification

VulDeeLocator: A Deep Learning-based Fine-grained Vulnerability Detector

Terminal Brain Damage: Exposing the Graceless Degradation in Deep Neural Networks Under Hardware Fault Attacks

Differentially Private Grids for Geospatial Data

FISGuard: Defending Against Membership Inference via Fixed Input Subspaces

ContextLeak: Exfiltrating LLM Agent Context via Malicious Tools

Torchattacks: A PyTorch Repository for Adversarial Attacks

Federated Learning for Privacy Preservation in Smart Healthcare Systems: A Comprehensive Survey

Collective Anomaly Detection based on Long Short Term Memory Recurrent Neural Network

Semantic Watermarking with Order-Robust Detection over Sub-sentence Units

Unlearnable Examples: Making Personal Data Unexploitable

Quantization-Triggered Backdoors in Language Models: Cross-Quantizer Transferability and the Validation--Deployment Gap

SMoTherSpectre: exploiting speculative execution through port contention

AI Agents Under Threat: A Survey of Key Security Challenges and Future Pathways

Authentication Protocols for Internet of Things: A Comprehensive Survey

Countering Gattaca: Efficient and Secure Testing of Fully-Sequenced Human Genomes (Full Version)

LDP-FL: Practical Private Aggregation in Federated Learning with Local Differential Privacy

Houdini: Fooling Deep Structured Prediction Models

Early Stage Malware Prediction Using Recurrent Neural Networks

SoK: Transparent Dishonesty: front-running attacks on Blockchain

Backdoor Attacks to Graph Neural Networks

Undetectable Watermarks for Language Models

Adversarial Machine Learning -- Industry Perspectives

CrypTFlow: Secure TensorFlow Inference

Automotive HSMs - Architectural Challenges and Security Implications

A Survey on Ransomware: Evolution, Taxonomy, and Defense Solutions

The Privacy Blanket of the Shuffle Model

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

Survey of Vulnerabilities in Large Language Models Revealed by Adversarial Attacks

Biometric Face Presentation Attack Detection with Multi-Channel Convolutional Neural Network

Defending against Phishing Attacks: Taxonomy of Methods, Current Issues and Future Directions

A Survey on Intelligent Internet of Things: Applications, Security, Privacy, and Future Directions

Var-CNN: A Data-Efficient Website Fingerprinting Attack Based on Deep Learning

Challenges and Opportunities in Securing the Industrial Internet of Things

Stronger Data Poisoning Attacks Break Data Sanitization Defenses

Can LLM-Generated Misinformation Be Detected?

Differentially Private Iterative Synchronous Consensus

Keeping Authorities "Honest or Bust" with Decentralized Witness Cosigning

PoisonedRAG: Knowledge Corruption Attacks to Retrieval-Augmented Generation of Large Language Models

Learning to Detect Malicious Clients for Robust Federated Learning

Interactive Privacy via the Median Mechanism

SafeDecoding: Defending against Jailbreak Attacks via Safety-Aware Decoding

Comprehensive Privacy Analysis of Deep Learning: Passive and Active White-box Inference Attacks against Centralized and Federated Learning

Overcoming Forgetting in Federated Learning on Non-IID Data

Rethinking the Backdoor Attacks' Triggers: A Frequency Perspective

Rademacher Complexity for Adversarially Robust Generalization

DDoS Attacks in Cloud Computing: Issues, Taxonomy, and Future Directions

Prochlo: Strong Privacy for Analytics in the Crowd

Unlocking High-Accuracy Differentially Private Image Classification through Scale

NO Need to Worry about Adversarial Examples in Object Detection in Autonomous Vehicles

Distributed Statistical Machine Learning in Adversarial Settings: Byzantine Gradient Descent

Cache Telepathy: Leveraging Shared Resource Attacks to Learn DNN Architectures

Precision Health Data: Requirements, Challenges and Existing Techniques for Data Security and Privacy

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

Secure State Estimation For Cyber Physical Systems Under Sensor Attacks: A Satisfiability Modulo Theory Approach

Differentially Private Model Publishing for Deep Learning

Differential Privacy and Machine Learning: a Survey and Review

Knock Knock, Who's There? Membership Inference on Aggregate Location Data