| 000 | 00578nam a2200181 4500 | ||
|---|---|---|---|
| 005 | 20260327141915.0 | ||
| 008 | 260327b |||||||| |||| 00| 0 eng d | ||
| 020 | _a978-1800564671 | ||
| 082 |
_a006.31 _bARA-P |
||
| 100 | _aAravilli, Srinivasa Rao | ||
| 245 |
_aPrivacy-Preserving Machine Learning: _bA use-case-driven approach to building and protecting ML pipelines from privacy and security threats |
||
| 250 | _a1st Edi. | ||
| 260 |
_aBirmingham: _bPackt Publishing, _c2023 |
||
| 300 | _a402p | ||
| 500 | _aIncludes Index. | ||
| 650 | _aComputer Science | ||
| 942 | _cBK | ||
| 999 |
_c47188 _d47188 |
||