Artifacts

To help support the reproducibility for research results, ACSAC encourages authors of accepted papers to submit software they develop and datasets they use to perform their research and make them publicly available to the entire community. We believe that this is an important initiative that can help the entire community increase its reputation, and make research in the security field proceeds faster by taking advantage of systems previously built by other researchers. We thank all the authors who participated in this initiative!

For more details on the artifact evaluations process, please refer to the Call for Paper Artifacts.

Link Legend: GitHub web Web archive

ACM Artifacts Evaluated Functional

The artifacts associated with the research are found to be documented, consistent, complete, exercisable, and include appropriate evidence of verification and validation.

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Triereme: Speeding up hybrid fuzzing through efficient query scheduling
Lightweight Privacy-Preserving Proximity Discovery for Remotely-Controlled Drones
Secure Softmax/Sigmoid for Machine-learning Computation
Hades: Practical Decentralized Identity with Full Accountability and Fine-grained Sybil-resistance
PhishReplicant: A Language Model-based Approach to Detect Generated Squatting Domain Names
Remote attestation of confidential VMs using ephemeral vTPMs
DOPE: DOmain Protection Enforcement with PKS
On the Detection of Image-Scaling Attacks in Machine Learning
Secure and Lightweight Over-the-Air Software Update Distribution for Connected Vehicles
Secure and Lightweight ECU Attestations for Resilient Over-the-Air Updates in Connected Vehicles
On the Feasibility of Cross-Language Detection of Malicious Packages in npm and PyPI
Remote Attestation with Constrained Disclosure
Binary Sight-Seeing: Accelerating Reverse Engineering via Point-of-Interest-Beacons
OAuth 2.0 Redirect URI Validation Falls Short, Literally
Detecting Weak Keys in Manufacturing Certificates: A Case Study
Differentially Private Resource Allocation
Poisoning Network Flow Classifiers
Secure MLaaS with Temper: Trusted and Efficient Model Partitioning and Enclave Reuse
ANDetect: A Third-party Ad Network Libraries Detection Framework for Android Applications
Global Analysis with Aggregation-based Beaconing Detection across Large Campus Networks
Protecting Your Voice from Speech Synthesis Attacks
Detection of Anomalies in Electric Vehicle Charging Sessions
When Push Comes to Shove: Empirical Analysis of Web Push Implementations in the Wild
No Forking Way: Detecting Cloning Attacks on Intel SGX Applications
PAVUDI: Patch-based Vulnerability Discovery using Machine Learning
Domain and Website Attribution beyond WHOIS
DefWeb: Defending User Privacy against Cache-based Website Fingerprinting Attacks with Intelligent Noise Injection
FLARE: Fingerprinting Deep Reinforcement Learning Agents using Universal Adversarial Masks
FLEDGE: Ledger-based Federated Learning Resilient to Inference and Backdoor Attacks
Artemis: Defanging Software Supply Chain Attacks in Multi-repository Update Systems
Can Large Language Models Provide Security & Privacy Advice? Measuring the Ability of LLMs to Refute Misconceptions
RandCompile: Removing Forensic Gadgets from the Linux Kernel to Combat its Analysis
Delegation of TLS Authentication to CDNs using Revocable Delegated Credentials
Attack of the Knights:Non Uniform Cache Side Channel Attack
Mostree: Malicious Secure Private Decision Tree Evaluation with Sublinear Communication
DeepTaster: Adversarial Perturbation-Based Fingerprinting to Identify Proprietary Dataset Use in Deep Neural Networks

ACM Artifacts Evaluated Reusable

The artifacts associated with the paper are of a quality that significantly exceeds minimal functionality. That is, they have all the qualities of the Artifacts Evaluated – Functional level, but, in addition, they are very carefully documented and well-structured to the extent that reuse and repurposing is facilitated. In particular, norms and standards of the research community for artifacts of this type are strictly adhered to.

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Triereme: Speeding up hybrid fuzzing through efficient query scheduling
Secure Softmax/Sigmoid for Machine-learning Computation
Hades: Practical Decentralized Identity with Full Accountability and Fine-grained Sybil-resistance
Remote attestation of confidential VMs using ephemeral vTPMs
Secure and Lightweight Over-the-Air Software Update Distribution for Connected Vehicles
Secure and Lightweight ECU Attestations for Resilient Over-the-Air Updates in Connected Vehicles
On the Feasibility of Cross-Language Detection of Malicious Packages in npm and PyPI
Remote Attestation with Constrained Disclosure
OAuth 2.0 Redirect URI Validation Falls Short, Literally
Detecting Weak Keys in Manufacturing Certificates: A Case Study
Differentially Private Resource Allocation
Poisoning Network Flow Classifiers
Global Analysis with Aggregation-based Beaconing Detection across Large Campus Networks
PAVUDI: Patch-based Vulnerability Discovery using Machine Learning
DefWeb: Defending User Privacy against Cache-based Website Fingerprinting Attacks with Intelligent Noise Injection
Artemis: Defanging Software Supply Chain Attacks in Multi-repository Update Systems
Can Large Language Models Provide Security & Privacy Advice? Measuring the Ability of LLMs to Refute Misconceptions
RandCompile: Removing Forensic Gadgets from the Linux Kernel to Combat its Analysis
Delegation of TLS Authentication to CDNs using Revocable Delegated Credentials
Attack of the Knights:Non Uniform Cache Side Channel Attack
Mostree: Malicious Secure Private Decision Tree Evaluation with Sublinear Communication
DeepTaster: Adversarial Perturbation-Based Fingerprinting to Identify Proprietary Dataset Use in Deep Neural Networks

ACM Results Reproduced

The artifacts associated with the research whose results have been independently obtained in a subsequent study by a person or team other than the authors, without the use of author-supplied artifacts.

From Attachments to SEO: Click Here to Learn More about Clickbait PDFs!
Triereme: Speeding up hybrid fuzzing through efficient query scheduling
Lightweight Privacy-Preserving Proximity Discovery for Remotely-Controlled Drones
Secure Softmax/Sigmoid for Machine-learning Computation
Hades: Practical Decentralized Identity with Full Accountability and Fine-grained Sybil-resistance
Remote attestation of confidential VMs using ephemeral vTPMs
On the Feasibility of Cross-Language Detection of Malicious Packages in npm and PyPI
PSP-Mal: Evading Malware Detection via Prioritized Experience-based Reinforcement Learning with Shapley Prior
OAuth 2.0 Redirect URI Validation Falls Short, Literally
Differentially Private Resource Allocation
Poisoning Network Flow Classifiers
Secure MLaaS with Temper: Trusted and Efficient Model Partitioning and Enclave Reuse
Global Analysis with Aggregation-based Beaconing Detection across Large Campus Networks
Detection of Anomalies in Electric Vehicle Charging Sessions
DefWeb: Defending User Privacy against Cache-based Website Fingerprinting Attacks with Intelligent Noise Injection
Artemis: Defanging Software Supply Chain Attacks in Multi-repository Update Systems
Can Large Language Models Provide Security & Privacy Advice? Measuring the Ability of LLMs to Refute Misconceptions
RandCompile: Removing Forensic Gadgets from the Linux Kernel to Combat its Analysis
Attack of the Knights:Non Uniform Cache Side Channel Attack