Transcript Table
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Results of Search: 176,291 lines — Showing 19801 - 19820.
| Course | Level | Date | Clip# | Line | Interlocutor | Content |
|---|---|---|---|---|---|---|
| Oral Assessments | Graduate | 2019-08-14 | 3 | 76 | S01 | one of the fa- ☺ahem☺ what adversarial machine |
| Oral Assessments | Graduate | 2019-08-14 | 3 | 77 | S01 | learning do is uh they are trying uh they are |
| Oral Assessments | Graduate | 2019-08-14 | 3 | 78 | S01 | trying to (0.4) fool the (0.3) the machine learning |
| Oral Assessments | Graduate | 2019-08-14 | 3 | 79 | S01 | models through malicious inputs such as add some |
| Oral Assessments | Graduate | 2019-08-14 | 3 | 80 | S01 | noise to the paper image of cat and make the: mm mm↗ |
| Oral Assessments | Graduate | 2019-08-14 | 3 | 81 | T02 | i'm sorry what is male- what do you mean by malicious↗ |
| Oral Assessments | Graduate | 2019-08-14 | 3 | 82 | S01 | uh malicious means (.) for example the ☉benign☉ (.) |
| Oral Assessments | Graduate | 2019-08-14 | 3 | 83 | S01 | uh (.) image is a: is a normal: cat image ≈ |
| Oral Assessments | Graduate | 2019-08-14 | 3 | 84 | T02 | +≈ okay→ |
| Oral Assessments | Graduate | 2019-08-14 | 3 | 85 | S01 | and we add some (.) specially designed noise↘ |
| Oral Assessments | Graduate | 2019-08-14 | 3 | 86 | UNK | (0.5) |
| Oral Assessments | Graduate | 2019-08-14 | 3 | 87 | S01 | uh they are (0.6) very irregular from our humans |
| Oral Assessments | Graduate | 2019-08-14 | 3 | 88 | S01 | vision↘ but a- after adding this noise→ the (.) uh |
| Oral Assessments | Graduate | 2019-08-14 | 3 | 89 | S01 | the image becomes malicious that will be misclassified |
| Oral Assessments | Graduate | 2019-08-14 | 3 | 90 | S01 | by the: (0.4) ∆machine learning model∆↘ |
| Oral Assessments | Graduate | 2019-08-14 | 3 | 91 | S01 | oh okay |
| Oral Assessments | Graduate | 2019-08-14 | 3 | 92 | S01 | yeah↘ |
| Oral Assessments | Graduate | 2019-08-14 | 3 | 93 | S01 | uh okay→ so let's continue↘ uh (1.5) &hehehehe |
| Oral Assessments | Graduate | 2019-08-14 | 3 | 94 | S01 | u:h (0.8) ahem (0.7) and uh what ∆adversarial machine∆ |
| Oral Assessments | Graduate | 2019-08-14 | 3 | 95 | S01 | ∆learning do∆ is ju- try to add some noise to |