Large-scale analysis of 200K PyPI packages identifies 1,361 replicated popular packages, 256 replicated vulnerable packages, and 7 new replicated malicious packages, showing replication as a security threat vector.
Nethammer: Inducing rowhammer faults through network requests
6 Pith papers cite this work, alongside 5 external citations. Polarity classification is still indexing.
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UNVERDICTED 6representative citing papers
EXTree structures ABAC policies as trees to enable efficient decisions and actionable explanations for denied access requests.
PrivacyAkinator uses LLM-generated questions grounded in data-flow representations and a news-mined design space to help developers surface privacy decisions, yielding 47% more decisions identified in 73% less time than PRAM in a 24-person study.
Flipping 1-2 sign bits in DNN parameters, located without data or optimization, drops accuracy to near zero across image classification, detection, segmentation, and language models.
Full instantiation of a statistical effort modeling method for game resource localisation attacks on two use cases, confirming feasibility for MATE attack analysis.
Survey of protocols including LayerZero, Wormhole, Connext, Chainlink CCIP, Circle CTP, Hop, Across, Polkadot, and Cosmos, with proposed network metrics and statistical models for evaluating performance in on-chain finance.
citing papers explorer
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Uncovering Similar but Different Packages in PyPI and Potential Security Threats
Large-scale analysis of 200K PyPI packages identifies 1,361 replicated popular packages, 256 replicated vulnerable packages, and 7 new replicated malicious packages, showing replication as a security threat vector.
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EXTree: Towards Supporting Explainability in Attribute-based Access Control
EXTree structures ABAC policies as trees to enable efficient decisions and actionable explanations for denied access requests.
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PrivacyAkinator: Articulating Key Privacy Design Decisions by Answering LLM-Generated Multiple-choice Questions
PrivacyAkinator uses LLM-generated questions grounded in data-flow representations and a news-mined design space to help developers surface privacy decisions, yielding 47% more decisions identified in 73% less time than PRAM in a 24-person study.
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Maximal Brain Damage Without Data or Optimization: Disrupting Neural Networks via Sign-Bit Flips
Flipping 1-2 sign bits in DNN parameters, located without data or optimization, drops accuracy to near zero across image classification, detection, segmentation, and language models.
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Statistical Effort Modelling of Game Resource Localisation Attacks
Full instantiation of a statistical effort modeling method for game resource localisation attacks on two use cases, confirming feasibility for MATE attack analysis.
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Connecting Distributed Ledgers: Surveying Novel Interoperability Solutions in On-chain Finance
Survey of protocols including LayerZero, Wormhole, Connext, Chainlink CCIP, Circle CTP, Hop, Across, Polkadot, and Cosmos, with proposed network metrics and statistical models for evaluating performance in on-chain finance.