Context Summary: Discussing safety of systems with an ML component, classic safety strategies (requirements, hazard analysis, system design), ... Short lecture after Molham's invited talk, catching up on data programming with Snorkel and briefly discussing challenges of ...
Se4ai Model Quality - Reference Practical Context
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Reference Practical Context
Discussing security principles in general and ML-specific attacks (poisoning attacks, evasion attacks) and counter strategies both ... Fairness is a challenge, but we can actually do many things: Measures of fairness and how they correspond to different goals and ... Short lecture after Molham's invited talk, catching up on data programming with Snorkel and briefly discussing challenges of ...
Reference Useful Reminders
Short lecture after Molham's invited talk, catching up on data programming with Snorkel and briefly discussing challenges of ... Sixth lecture of the Carnegie Mellon course "17-445/645 Software Engineering for AI-Enabled Systems", Summer 2020 Discusses ...
Resource Snapshot
Discussing safety of systems with an ML component, classic safety strategies (requirements, hazard analysis, system design), ... 4th lecture of the Carnegie Mellon course "17-445/645 Software Engineering for AI-Enabled Systems", Summer 2020 Discusses ...
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- Discussing safety of systems with an ML component, classic safety strategies (requirements, hazard analysis, system design), ...
- Short lecture after Molham's invited talk, catching up on data programming with Snorkel and briefly discussing challenges of ...
- Discussing security principles in general and ML-specific attacks (poisoning attacks, evasion attacks) and counter strategies both ...
- 4th lecture of the Carnegie Mellon course "17-445/645 Software Engineering for AI-Enabled Systems", Summer 2020 Discusses ...
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