usenix security '19 - improving robustness of ml classifiers against realizable evasio
Published 4 years ago • 380 plays • Length 21:14Download video MP4
Download video MP3
Similar videos
-
48:15
usenix security '19 - lessons learned from evaluating the robustness of defenses to
-
12:21
usenix security '20 - on training robust pdf malware classifiers
-
12:29
usenix security '23 - adversarial training for raw-binary malware classifiers
-
22:15
usenix security '19 - tesseract: eliminating experimental bias in malware classification
-
11:32
usenix security '20 - textshield: robust text classification based on multimodal embedding
-
20:36
usenix security '19 - the secret sharer: evaluating and testing unintended memorization in
-
10:38
usenix security '21 - injection attacks reloaded: tunnelling malicious payloads over dns
-
20:37
usenix enigma 2021 - the practical divide between adversarial ml research and security practice
-
21:11
usenix security '14 - man vs. machine: practical adversarial detection of malicious crowdsourcing
-
12:11
usenix security '22 - dos and don'ts of machine learning in computer security
-
21:31
usenix security '19 - discovering and understanding the security hazards in the
-
26:44
usenix security '18 - when does machine learning fail?...
-
12:19
usenix security '23 - precise and generalized robustness certification for neural networks
-
12:34
usenix security '23 - uret: universal robustness evaluation toolkit (for evasion)
-
11:35
usenix security '20 - interpretable deep learning under fire
-
16:10
usenix security '22 - adversarial detection avoidance attacks: evaluating the robustness
-
20:43
usenix security '19 - understanding and improving security and privacy in multi-user
-
14:23
usenix security '22 - using trātṛ to tame adversarial synchronization
-
12:40
usenix security '20 - cache telepathy: leveraging shared resource attacks to learn dnn architectures