Communications of the ACM
International Journal of Game Theory
COLT '90 Proceedings of the third annual workshop on Computational learning theory
Learning in the presence of malicious errors
SIAM Journal on Computing
The weighted majority algorithm
Information and Computation
Journal of the ACM (JACM)
The deceptive number changing game, in the absence of symmetry
International Journal of Game Theory
Learning nested differences in the presence of malicious noise
Theoretical Computer Science - Special issue on algorithmic learning theory
Machine Learning - Special issue on context sensitivity and concept drift
Bro: a system for detecting network intruders in real-time
Computer Networks: The International Journal of Computer and Telecommunications Networking
Theoretical Computer Science
Machine-Learning Approaches to Power-System Security Assessment
IEEE Expert: Intelligent Systems and Their Applications
Machine Learning
Machine Learning
Using Text Categorization Techniques for Intrusion Detection
Proceedings of the 11th USENIX Security Symposium
Learning nonstationary models of normal network traffic for detecting novel attacks
Proceedings of the eighth ACM SIGKDD international conference on Knowledge discovery and data mining
Parzen-Window Network Intrusion Detectors
ICPR '02 Proceedings of the 16 th International Conference on Pattern Recognition (ICPR'02) Volume 4 - Volume 4
Smooth boosting and learning with malicious noise
The Journal of Machine Learning Research
Kernel Methods for Pattern Analysis
Kernel Methods for Pattern Analysis
Proceedings of the tenth ACM SIGKDD international conference on Knowledge discovery and data mining
Proceedings of the eleventh ACM SIGKDD international conference on Knowledge discovery in data mining
SSYM'04 Proceedings of the 13th conference on USENIX Security Symposium - Volume 13
Evading network anomaly detection systems: formal reasoning and practical techniques
Proceedings of the 13th ACM conference on Computer and communications security
Incentive compatible regression learning
Proceedings of the nineteenth annual ACM-SIAM symposium on Discrete algorithms
Itrustpage: a user-assisted anti-phishing tool
Proceedings of the 3rd ACM SIGOPS/EuroSys European Conference on Computer Systems 2008
Exploiting machine learning to subvert your spam filter
LEET'08 Proceedings of the 1st Usenix Workshop on Large-Scale Exploits and Emergent Threats
A Multiple Instance Learning Strategy for Combating Good Word Attacks on Spam Filters
The Journal of Machine Learning Research
Open problems in the security of learning
Proceedings of the 1st ACM workshop on Workshop on AISec
Adversarial Pattern Classification Using Multiple Classifiers and Randomisation
SSPR & SPR '08 Proceedings of the 2008 Joint IAPR International Workshop on Structural, Syntactic, and Statistical Pattern Recognition
Network anomaly detection based on wavelet analysis
EURASIP Journal on Advances in Signal Processing - Special issue on signal processing applications in network intrusion detection systems
Information fusion for computer security: State of the art and open issues
Information Fusion
Ensemble Based Data Fusion for Gene Function Prediction
MCS '09 Proceedings of the 8th International Workshop on Multiple Classifier Systems
Online phishing classification using adversarial data mining and signaling games
Proceedings of the ACM SIGKDD Workshop on CyberSecurity and Intelligence Informatics
Stealthy poisoning attacks on PCA-based anomaly detectors
ACM SIGMETRICS Performance Evaluation Review
ANTIDOTE: understanding and defending against poisoning of anomaly detectors
Proceedings of the 9th ACM SIGCOMM conference on Internet measurement conference
A framework for quantitative security analysis of machine learning
Proceedings of the 2nd ACM workshop on Security and artificial intelligence
Detecting Network Anomalies Using CUSUM and EM Clustering
ISICA '09 Proceedings of the 4th International Symposium on Advances in Computation and Intelligence
Online phishing classification using adversarial data mining and signaling games
ACM SIGKDD Explorations Newsletter
Incentive compatible regression learning
Journal of Computer and System Sciences
A Framework for Large-Scale Detection of Web Site Defacements
ACM Transactions on Internet Technology (TOIT)
Robust Decentralized Virtual Coordinate Systems in Adversarial Environments
ACM Transactions on Information and System Security (TISSEC)
ICDM'10 Proceedings of the 10th industrial conference on Advances in data mining: applications and theoretical aspects
A misleading attack against semi-supervised learning for intrusion detection
MDAI'10 Proceedings of the 7th international conference on Modeling decisions for artificial intelligence
Anomaly detection techniques for a web defacement monitoring service
Expert Systems with Applications: An International Journal
Bagging classifiers for fighting poisoning attacks in adversarial classification tasks
MCS'11 Proceedings of the 10th international conference on Multiple classifier systems
The Frog-Boiling Attack: Limitations of Secure Network Coordinate Systems
ACM Transactions on Information and System Security (TISSEC)
Proceedings of the 4th ACM workshop on Security and artificial intelligence
Proceedings of the 4th ACM workshop on Security and artificial intelligence
On the Value of Coordination in Distributed Self-Adaptation of Intrusion Detection System
WI-IAT '11 Proceedings of the 2011 IEEE/WIC/ACM International Conferences on Web Intelligence and Intelligent Agent Technology - Volume 02
A survey of emerging approaches to spam filtering
ACM Computing Surveys (CSUR)
Allergy attack against automatic signature generation
RAID'06 Proceedings of the 9th international conference on Recent Advances in Intrusion Detection
Paragraph: thwarting signature learning by training maliciously
RAID'06 Proceedings of the 9th international conference on Recent Advances in Intrusion Detection
Anagram: a content anomaly detector resistant to mimicry attack
RAID'06 Proceedings of the 9th international conference on Recent Advances in Intrusion Detection
Multiple classifier systems under attack
MCS'10 Proceedings of the 9th international conference on Multiple Classifier Systems
SOCIAL: self-organizing classifier ensemble for adversarial learning
MCS'10 Proceedings of the 9th international conference on Multiple Classifier Systems
Reliable client accounting for P2P-infrastructure hybrids
NSDI'12 Proceedings of the 9th USENIX conference on Networked Systems Design and Implementation
Adversarial support vector machine learning
Proceedings of the 18th ACM SIGKDD international conference on Knowledge discovery and data mining
Sampling attack against active learning in adversarial environment
MDAI'12 Proceedings of the 9th international conference on Modeling Decisions for Artificial Intelligence
Poisoning adaptive biometric systems
SSPR'12/SPR'12 Proceedings of the 2012 Joint IAPR international conference on Structural, Syntactic, and Statistical Pattern Recognition
An agent-based model to simulate and analyse behaviour under noisy and deceptive information
Adaptive Behavior - Animals, Animats, Software Agents, Robots, Adaptive Systems
Security analysis of online centroid anomaly detection
The Journal of Machine Learning Research
Is data clustering in adversarial settings secure?
Proceedings of the 2013 ACM workshop on Artificial intelligence and security
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Machine learning systems offer unparalled flexibility in dealing with evolving input in a variety of applications, such as intrusion detection systems and spam e-mail filtering. However, machine learning algorithms themselves can be a target of attack by a malicious adversary. This paper provides a framework for answering the question, "Can machine learning be secure?" Novel contributions of this paper include a taxonomy of different types of attacks on machine learning techniques and systems, a variety of defenses against those attacks, a discussion of ideas that are important to security for machine learning, an analytical model giving a lower bound on attacker's work function, and a list of open problems.