usenix security '23 - evading provenance-based ml detectors with adversarial system action
Published 8 months ago • 135 plays • Length 13:59Download video MP4
Download video MP3
Similar videos
-
11:48
usenix security '23 - the space of adversarial strategies
-
12:29
usenix security '23 - adversarial training for raw-binary malware classifiers
-
9:34
usenix security '23 - icspatch: automated vulnerability localization and non-intrusive...
-
11:54
usenix security '23 - heco: fully homomorphic encryption compiler
-
13:15
usenix security '23 - airs: explanation for deep reinforcement learning based security applications
-
10:42
usenix security '23 - multi-factor key derivation function (mfkdf) for fast, flexible, secure, &...
-
13:09
usenix security '23 - can a deep learning model for one architecture be used for others?...
-
17:02
nsdi '23 - protego: overload control for applications with unpredictable lock contention
-
20:37
usenix enigma 2021 - the practical divide between adversarial ml research and security practice
-
1:04:49
federated learning – a hype or a trend? - prof. anna wilbik
-
11:29
usenix security '23 - prographer: an anomaly detection system based on provenance graph embedding
-
12:34
usenix security '23 - uret: universal robustness evaluation toolkit (for evasion)
-
13:45
usenix security '23 - asset: robust backdoor data detection across a multiplicity of deep learning..
-
10:51
usenix security '23 - design of access control mechanisms in systems-on-chip with formal...
-
12:47
usenix security '23 - aliasing backdoor attacks on pre-trained models
-
13:39
usenix security '23 - person re-identification in 3d space: a wifi vision-based approach
-
14:53
usenix security '23 - csher: a system for compact storage with he-retrieval
-
15:26
usenix security '23 - humans vs. machines in malware classification
-
13:14
usenix security '23 - zbcan: a zero-byte can defense system
-
12:32
usenix security '23 - a data-free backdoor injection approach in neural networks