Name
Abstract | ||
|---|---|---|
Deep learning is increasingly applied to safety-critical application domains such as autonomous cars and medical devices. It is of significant importance to ensure their reliability and robustness. In this paper, we propose DLFuzz, the coverage guided differential adversarial testing framework to guide deep learing systems exposing incorrect behaviors. DLFuzz keeps minutely mutating the input to m... |
Year | DOI | Venue |
|---|---|---|
2021 | 10.1109/TNSE.2020.2997359 | IEEE Transactions on Network Science and Engineering |
Keywords | DocType | Volume |
Machine learning,Neurons,Fuzzing,Perturbation methods,Robustness | Journal | 8 |
Issue | ISSN | Citations |
2 | 2327-4697 | 1 |
PageRank | References | Authors |
0.35 | 0 | 4 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Jianmin Guo | 1 | 28 | 2.16 |
| Houbing Song | 2 | 1771 | 172.26 |
| Yue Zhao | 3 | 101 | 6.73 |
| Yu Jiang | 4 | 346 | 56.49 |