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)

1,741 to 1,800 of 2,551

Artificial Fingerprinting for Generative Models: Rooting Deepfake Attribution in Training Data
Ning Yu, Vladislav Skripniuk, Sahar Abdelnabi +1
cs.CRcs.CVcs.CYarXiv:2007.08457v72020
C-FLAT: Control-FLow ATtestation for Embedded Systems Software
Tigist Abera, N. Asokan, Lucas Davi +5
cs.CRarXiv:1605.07763v22016
Stolen Memories: Leveraging Model Memorization for Calibrated White-Box Membership Inference
Klas Leino, Matt Fredrikson
cs.LGcs.CRstat.MLarXiv:1906.11798v22019
Making an Invisibility Cloak: Real World Adversarial Attacks on Object Detectors
Zuxuan Wu, Ser-Nam Lim, Larry Davis +1
cs.CVcs.CRcs.LGarXiv:1910.14667v22019
Privacy-preserving and Efficient Aggregation based on Blockchain for Power Grid Communications in Smart Communities
Zhitao Guan, Guanlin Si, Xiaosong Zhang +4
cs.CRarXiv:1806.01056v12018
Small World with High Risks: A Study of Security Threats in the npm Ecosystem
Markus Zimmermann, Cristian-Alexandru Staicu, Cam Tenny +1
cs.CRarXiv:1902.09217v22019
ToolMinimize: Auditing and Rewriting LLM Agent Tool Calls to Minimize Privacy Exposure
Wenbiao Li, Yuqiao Xu
cs.CRcs.SEarXiv:2608.24957v12026
Neighbor-embedded Graph Neural Network-based Crowd Delivery Traffic Management in Smart City
Kishu Gupta, Deepika Saxena, Ashutosh Kumar Singh +1
cs.CRcs.LGarXiv:2608.22555v12026
Ensemble-based Multi-Filter Feature Selection Method for DDoS Detection in Cloud Computing
Opeyemi Osanaiye, Kim-Kwang Raymond Choo2, Ali Dehghantanha +2
cs.CRarXiv:1807.10443v12018
Decoupling Direction and Norm for Efficient Gradient-Based L2 Adversarial Attacks and Defenses
Jérôme Rony, Luiz G. Hafemann, Luiz S. Oliveira +3
cs.CVcs.CRcs.LGarXiv:1811.09600v32018
Private quantum computation: An introduction to blind quantum computing and related protocols
Joseph F. Fitzsimons
quant-phcs.CRarXiv:1611.10107v12016
Transferable Clean-Label Poisoning Attacks on Deep Neural Nets
Chen Zhu, W. Ronny Huang, Ali Shafahi +4
stat.MLcs.CRcs.LGarXiv:1905.05897v22019
Parametric Noise Injection: Trainable Randomness to Improve Deep Neural Network Robustness against Adversarial Attack
Adnan Siraj Rakin, Zhezhi He, Deliang Fan
cs.LGcs.CRcs.CVarXiv:1811.09310v12018
URLNet: Learning a URL Representation with Deep Learning for Malicious URL Detection
Hung Le, Quang Pham, Doyen Sahoo +1
cs.CRcs.LGarXiv:1802.03162v22018
A Survey on Security and Privacy Issues in Edge Computing-Assisted Internet of Things
Abdulmalik Alwarafy, Khaled A. Al-Thelaya, Mohamed Abdallah +2
cs.NIcs.CRarXiv:2008.03252v12020
When Machine Unlearning Jeopardizes Privacy
Min Chen, Zhikun Zhang, Tianhao Wang +3
cs.CRcs.LGstat.MLarXiv:2005.02205v22020
Shadow Alignment: The Ease of Subverting Safely-Aligned Language Models
Xianjun Yang, Xiao Wang, Qi Zhang +4
cs.CLcs.AIcs.CRarXiv:2310.02949v12023
Machine Unlearning of Features and Labels
Alexander Warnecke, Lukas Pirch, Christian Wressnegger +1
cs.LGcs.CRarXiv:2108.11577v42021
Secure and Privacy-Preserving Consensus
Minghao Ruan, Huan Gao, Yongqiang Wang
math.OCcs.CRarXiv:1707.04491v42017
Byzantine-Resilient Secure Federated Learning
Jinhyun So, Basak Guler, A. Salman Avestimehr
cs.CRcs.DCcs.LGarXiv:2007.11115v22020
Disentangling Adversarial Robustness and Generalization
David Stutz, Matthias Hein, Bernt Schiele
cs.CVcs.CRcs.LGarXiv:1812.00740v22018
Dpraodv: A Dyanamic Learning System Against Blackhole Attack in Aodv Based Manet
Payal N. Raj, Prashant B. Swadas
cs.CRcs.NIarXiv:0909.2371v12009
Towards Unbounded Machine Unlearning
Meghdad Kurmanji, Peter Triantafillou, Jamie Hayes +1
cs.LGcs.CRarXiv:2302.09880v32023
The Capacity of Robust Private Information Retrieval with Colluding Databases
Hua Sun, Syed A. Jafar
cs.ITcs.CRcs.IRarXiv:1605.00635v12016
Federated Learning for 6G Communications: Challenges, Methods, and Future Directions
Yi Liu, Xingliang Yuan, Zehui Xiong +3
cs.NIcs.CRcs.LGarXiv:2006.02931v22020
Deflecting Adversarial Attacks with Pixel Deflection
Aaditya Prakash, Nick Moran, Solomon Garber +2
cs.CVcs.CRarXiv:1801.08926v32018
Auditing Differentially Private Machine Learning: How Private is Private SGD?
Matthew Jagielski, Jonathan Ullman, Alina Oprea
cs.CRcs.LGarXiv:2006.07709v12020
Combining Graph Neural Networks with Expert Knowledge for Smart Contract Vulnerability Detection
Zhenguang Liu, Peng Qian, Xiaoyang Wang +3
cs.CRcs.LGcs.PLarXiv:2107.11598v12021
LUCID: A Practical, Lightweight Deep Learning Solution for DDoS Attack Detection
Roberto Doriguzzi-Corin, Stuart Millar, Sandra Scott-Hayward +2
cs.CRcs.NIarXiv:2002.04902v22020
Gradient-based Adversarial Attacks against Text Transformers
Chuan Guo, Alexandre Sablayrolles, Hervé Jégou +1
cs.CLcs.AIcs.CRarXiv:2104.13733v12021
Recent Advances in the Internet of Medical Things (IoMT) Systems Security
Ali Ghubaish, Tara Salman, Maede Zolanvari +3
cs.CRarXiv:2302.04439v12023
Advances in adversarial attacks and defenses in computer vision: A survey
Naveed Akhtar, Ajmal Mian, Navid Kardan +1
cs.CVcs.CRcs.CYarXiv:2108.00401v22021
Feature Distillation: DNN-Oriented JPEG Compression Against Adversarial Examples
Zihao Liu, Qi Liu, Tao Liu +4
cs.CVcs.CRarXiv:1803.05787v22018
Certifying LLM Safety against Adversarial Prompting
Aounon Kumar, Chirag Agarwal, Suraj Srinivas +3
cs.CLcs.AIcs.CRarXiv:2309.02705v42023
Dynamic Backdoor Attacks Against Machine Learning Models
Ahmed Salem, Rui Wen, Michael Backes +2
cs.CRcs.LGstat.MLarXiv:2003.03675v22020
Invisible for both Camera and LiDAR: Security of Multi-Sensor Fusion based Perception in Autonomous Driving Under Physical-World Attacks
Yulong Cao*, Ningfei Wang*, Chaowei Xiao* +6
cs.CRcs.CVcs.LGarXiv:2106.09249v12021
Bit-Flip Attack: Crushing Neural Network with Progressive Bit Search
Adnan Siraj Rakin, Zhezhi He, Deliang Fan
cs.CVcs.CRarXiv:1903.12269v22019
Attribute-Based Encryption for Circuits from Multilinear Maps
Amit Sahai, Brent Waters
cs.CRarXiv:1210.5287v12012
Beta-CROWN: Efficient Bound Propagation with Per-neuron Split Constraints for Complete and Incomplete Neural Network Robustness Verification
Shiqi Wang, Huan Zhang, Kaidi Xu +4
cs.LGcs.AIcs.CRarXiv:2103.06624v22021
Generating Steganographic Images via Adversarial Training
Jamie Hayes, George Danezis
stat.MLcs.CRcs.MMarXiv:1703.00371v32017
CVEfixes: Automated Collection of Vulnerabilities and Their Fixes from Open-Source Software
Guru Prasad Bhandari, Amara Naseer, Leon Moonen
cs.SEcs.AIcs.CRarXiv:2107.08760v12021
Differentially Private Learning Needs Better Features (or Much More Data)
Florian Tramèr, Dan Boneh
cs.LGcs.CRstat.MLarXiv:2011.11660v32020
POIROT: Aligning Attack Behavior with Kernel Audit Records for Cyber Threat Hunting
Sadegh M. Milajerdi, Birhanu Eshete, Rigel Gjomemo +1
cs.CRarXiv:1910.00056v12019
The Discrete Gaussian for Differential Privacy
Clément L. Canonne, Gautam Kamath, Thomas Steinke
cs.DScs.CRstat.MLarXiv:2004.00010v62020
MBRS : Enhancing Robustness of DNN-based Watermarking by Mini-Batch of Real and Simulated JPEG Compression
Zhaoyang Jia, Han Fang, Weiming Zhang
cs.CVcs.CRarXiv:2108.08211v12021
$μ$VulDeePecker: A Deep Learning-Based System for Multiclass Vulnerability Detection
Deqing Zou, Sujuan Wang, Shouhuai Xu +2
cs.CRcs.LGarXiv:2001.02334v12020
Unveiling Security, Privacy, and Ethical Concerns of ChatGPT
Xiaodong Wu, Ran Duan, Jianbing Ni
cs.CRcs.AIarXiv:2307.14192v12023
Blockchain Technology Overview
Dylan Yaga, Peter Mell, Nik Roby +1
cs.CRcs.DBarXiv:1906.11078v12019
A backdoor attack against LSTM-based text classification systems
Jiazhu Dai, Chuanshuai Chen
cs.CRarXiv:1905.12457v22019
k-fingerprinting: a Robust Scalable Website Fingerprinting Technique
Jamie Hayes, George Danezis
cs.CRarXiv:1509.00789v32015
DAG-Based Attack and Defense Modeling: Don't Miss the Forest for the Attack Trees
Barbara Kordy, Ludovic Piètre-Cambacédès, Patrick Schweitzer
cs.CRarXiv:1303.7397v12013
The Spy in the Sandbox -- Practical Cache Attacks in Javascript
Yossef Oren, Vasileios P. Kemerlis, Simha Sethumadhavan +1
cs.CRcs.NIarXiv:1502.07373v22015
Adversarial Attacks on Node Embeddings via Graph Poisoning
Aleksandar Bojchevski, Stephan Günnemann
cs.LGcs.CRcs.SIarXiv:1809.01093v32018
Membership Inference Attacks against Language Models via Neighbourhood Comparison
Justus Mattern, Fatemehsadat Mireshghallah, Zhijing Jin +3
cs.CLcs.CRcs.LGarXiv:2305.18462v22023
Rényi Differential Privacy of the Sampled Gaussian Mechanism
Ilya Mironov, Kunal Talwar, Li Zhang
cs.LGcs.CRstat.MLarXiv:1908.10530v12019
Unrolling SGD: Understanding Factors Influencing Machine Unlearning
Anvith Thudi, Gabriel Deza, Varun Chandrasekaran +1
cs.LGcs.CRarXiv:2109.13398v22021
Hidden Killer: Invisible Textual Backdoor Attacks with Syntactic Trigger
Fanchao Qi, Mukai Li, Yangyi Chen +4
cs.CLcs.CRarXiv:2105.12400v22021
Blockchain for the Internet of Vehicles towards Intelligent Transportation Systems: A Survey
Muhammad Baqer Mollah, Jun Zhao, Dusit Niyato +5
cs.CRcs.NIcs.SIarXiv:2007.06022v22020
A Smart Home is No Castle: Privacy Vulnerabilities of Encrypted IoT Traffic
Noah Apthorpe, Dillon Reisman, Nick Feamster
cs.CRarXiv:1705.06805v12017
Breaking Symmetric Cryptosystems using Quantum Period Finding
Marc Kaplan, Gaëtan Leurent, Anthony Leverrier +1
quant-phcs.CRarXiv:1602.05973v32016

Cryptography and Security

Artificial Fingerprinting for Generative Models: Rooting Deepfake Attribution in Training Data

C-FLAT: Control-FLow ATtestation for Embedded Systems Software

Stolen Memories: Leveraging Model Memorization for Calibrated White-Box Membership Inference

Making an Invisibility Cloak: Real World Adversarial Attacks on Object Detectors

Privacy-preserving and Efficient Aggregation based on Blockchain for Power Grid Communications in Smart Communities

Small World with High Risks: A Study of Security Threats in the npm Ecosystem

ToolMinimize: Auditing and Rewriting LLM Agent Tool Calls to Minimize Privacy Exposure

Neighbor-embedded Graph Neural Network-based Crowd Delivery Traffic Management in Smart City

Ensemble-based Multi-Filter Feature Selection Method for DDoS Detection in Cloud Computing

Decoupling Direction and Norm for Efficient Gradient-Based L2 Adversarial Attacks and Defenses

Private quantum computation: An introduction to blind quantum computing and related protocols

Transferable Clean-Label Poisoning Attacks on Deep Neural Nets

Parametric Noise Injection: Trainable Randomness to Improve Deep Neural Network Robustness against Adversarial Attack

URLNet: Learning a URL Representation with Deep Learning for Malicious URL Detection

A Survey on Security and Privacy Issues in Edge Computing-Assisted Internet of Things

When Machine Unlearning Jeopardizes Privacy

Shadow Alignment: The Ease of Subverting Safely-Aligned Language Models

Machine Unlearning of Features and Labels

Secure and Privacy-Preserving Consensus

Byzantine-Resilient Secure Federated Learning

Disentangling Adversarial Robustness and Generalization

Dpraodv: A Dyanamic Learning System Against Blackhole Attack in Aodv Based Manet

Towards Unbounded Machine Unlearning

The Capacity of Robust Private Information Retrieval with Colluding Databases

Federated Learning for 6G Communications: Challenges, Methods, and Future Directions

Deflecting Adversarial Attacks with Pixel Deflection

Auditing Differentially Private Machine Learning: How Private is Private SGD?

Combining Graph Neural Networks with Expert Knowledge for Smart Contract Vulnerability Detection

LUCID: A Practical, Lightweight Deep Learning Solution for DDoS Attack Detection

Gradient-based Adversarial Attacks against Text Transformers

Recent Advances in the Internet of Medical Things (IoMT) Systems Security

Advances in adversarial attacks and defenses in computer vision: A survey

Feature Distillation: DNN-Oriented JPEG Compression Against Adversarial Examples

Certifying LLM Safety against Adversarial Prompting

Dynamic Backdoor Attacks Against Machine Learning Models

Invisible for both Camera and LiDAR: Security of Multi-Sensor Fusion based Perception in Autonomous Driving Under Physical-World Attacks

Bit-Flip Attack: Crushing Neural Network with Progressive Bit Search

Attribute-Based Encryption for Circuits from Multilinear Maps

Beta-CROWN: Efficient Bound Propagation with Per-neuron Split Constraints for Complete and Incomplete Neural Network Robustness Verification

Generating Steganographic Images via Adversarial Training

CVEfixes: Automated Collection of Vulnerabilities and Their Fixes from Open-Source Software

Differentially Private Learning Needs Better Features (or Much More Data)

POIROT: Aligning Attack Behavior with Kernel Audit Records for Cyber Threat Hunting

The Discrete Gaussian for Differential Privacy

MBRS : Enhancing Robustness of DNN-based Watermarking by Mini-Batch of Real and Simulated JPEG Compression

$μ$VulDeePecker: A Deep Learning-Based System for Multiclass Vulnerability Detection

Unveiling Security, Privacy, and Ethical Concerns of ChatGPT

Blockchain Technology Overview

A backdoor attack against LSTM-based text classification systems

k-fingerprinting: a Robust Scalable Website Fingerprinting Technique

DAG-Based Attack and Defense Modeling: Don't Miss the Forest for the Attack Trees

The Spy in the Sandbox -- Practical Cache Attacks in Javascript

Adversarial Attacks on Node Embeddings via Graph Poisoning

Membership Inference Attacks against Language Models via Neighbourhood Comparison

Rényi Differential Privacy of the Sampled Gaussian Mechanism

Unrolling SGD: Understanding Factors Influencing Machine Unlearning

Hidden Killer: Invisible Textual Backdoor Attacks with Syntactic Trigger

Blockchain for the Internet of Vehicles towards Intelligent Transportation Systems: A Survey

A Smart Home is No Castle: Privacy Vulnerabilities of Encrypted IoT Traffic

Breaking Symmetric Cryptosystems using Quantum Period Finding