adverSCarial
Bioc currentadverSCarial, generate and analyze the vulnerability of scRNA-seq classifier to adversarial attacks
Release Lineage
Entered 3.18 · Oct 25, 2023
Current · Requires R 4.6
Description
adverSCarial is an R Package designed for generating and analyzing the vulnerability of scRNA-seq classifiers to adversarial attacks. The package is versatile and provides a format for integrating any type of classifier. It offers functions for studying and generating two types of attacks, single gene attack and max change attack. The single-gene attack involves making a small modification to the input to alter the classification. The max-change attack involves making a large modification to the input without changing its classification. The CGD attack is based on an estimated gradient descent. against adversarial attacks. The package provides a comprehensive solution for evaluating the robustness of scRNA-seq classifiers against adversarial attacks.
Code & tests
Open call graph →Line coverage
–
Expression
–
Tests / Examples
–
Functions
37 14 exported
Complexity
12.4 avg / 50 max
Call network
37 nodes / 39 edges
Test coverage is not measured for Bioconductor packages; nodes fall back to a neutral fill.
Lowest coverage
Per-function coverage is not measured for this package yet.
Code
Structure
Lines of code
5,549
Files
51
Compiled share
0%
Has compiled src
No
Language breakdown
API
Exported functions
16
Internal functions
23
Recent export changes
Testing & CI
Has tests
Yes
Test-to-code ratio
0.00
testthat edition
–
CI present
No
CI type
[]
PR gated
No
Docs
Return-value doc rate
93.3%
\dontrun example ratio
0%
Roxygen coverage
93.8%
Has pkgdown
No
NEWS present
Yes
Health & Security signals
Informational signals; not verdicts.
on.exit coverage
0%
Unsafe pattern score
0
Dep constraint coverage
0%
Secret pattern count
0
Bundled 3rd-party code
2 items
Portability & License
Min R version
–
System requirements
–
C++ standard
–
License
MIT + file LICENSE
License flags
SPDX valid, OSI approved
History
Versions
6
First release
2023-10-24
Latest release
2026-04-28
Avg cadence
182 days
Cold removal rate
–
Dep drift
0
LOC over versions
Per-file churn detail lives in the source pipeline: https://github.com/r-observatory/bioc-code-metrics.
Topics
People
- Ghislain FIEVET author maintainer
- Sébastien HERGALANT author