usenix security '14 - man vs. machine: practical adversarial detection of malicious crowdsourcing
Published 2 years ago • 50 plays • Length 21:11Download video MP4
Download video MP3
Similar videos
-
16:10
usenix security '22 - adversarial detection avoidance attacks: evaluating the robustness
-
21:06
usenix security '14 - password managers: attacks and defenses
-
11:50
usenix security '22 - rolling colors: adversarial laser exploits against traffic light recognition
-
19:50
usenix security '14 - cardinal pill testing of system virtual machines
-
10:56
usenix security '22 - ml-doctor: holistic risk assessment of inference attacks against machine
-
13:59
usenix security '23 - evading provenance-based ml detectors with adversarial system action
-
12:44
usenix security '20 - devil’s whisper: a general approach for physical adversarial attacks
-
6:21
musou ii 6-side cosmetic inspection system & souryu vision feeder
-
4:26
adversarial patch for object detection
-
11:06
usenix security '22 - label inference attacks against vertical federated learning
-
12:17
usenix security '22 - patchcleanser: certifiably robust defense against adversarial patches...
-
11:56
usenix security '21 - patchguard: a provably robust defense against adversarial patches via small
-
11:15
usenix security '20 - adversarial preprocessing: understanding and preventing image-scaling attacks
-
10:58
usenix security '20 - high accuracy and high fidelity extraction of neural networks
-
11:09
usenix security '21 - slap: improving physical adversarial examples with short-lived adversarial
-
11:34
usenix security '22 - increasing adversarial uncertainty to scale private similarity testing
-
12:09
usenix security '21 - waveguard: understanding and mitigating audio adversarial examples
-
10:01
usenix security '23 - machine-checking multi-round proofs of shuffle: terelius-wikstrom and...
-
27:08
usenix security '16 - specification mining for intrusion detection in networked control systems
-
11:32
usenix security '20 - textshield: robust text classification based on multimodal embedding
-
22:15
usenix security '19 - tesseract: eliminating experimental bias in malware classification