Can we steal/extract a SOTA Machine Learning Model via just the Prediction Apis? and that too with a budget under 500$?
This paper showcases exactly that by exploiting the models trained via transfer learning methods. Author's also proposes multiple defense strategies like Membership classification and API watermarking to make these models robust to model extraction attacks.
https://youtu.be/ueC2a3hlBVs
He’s been ostrich-ized by the community.
They told me, "he doesn't count!" I replied, "I assure you, he does."
They told me oh he doesn’t count, but I assure you he does.
It’s so slow paced , very diverse, simple lessons my toddler loves it.
##SSC 8 - BAC 0
##LINE
| 1 | 2 | 3 | 4 | 5 | 6 | R | H | |
|---|---|---|---|---|---|---|---|---|
| SSC | 0 | 0 | 3 | 2 | 2 | - | 8 | 9 |
| BAC | 0 | 0 | 0 | 0 | 0 | - | 0 | 1 |
##BOX
| # | Sesame Street Count Von Counts | Pos | AB | R | H | RBI | BB | SO | BA | # | Blue Grass Ax Cats | Pos | AB | R | H | RBI | BB | SO | BA |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 1 | Helen Hywater | 3B | 3 | 1 | 1 | 0 | 0 | 1 | Hitting Debut | 1 | Herb Sessions | CF | 2 | 0 | 0 | 0 | 0 | 1 | .000 |
| 2 | Ferda Bois | SS | 2 | 2 | 1 | 0 | 1 | 0 | Hitting Debut | 2 | Mike Unt | 2B | 2 | 0 | 0 | 0 | 0 | 0 | .000 |
| 1B | 1 | 0 | 0 | 0 | 0 | 1 | Hitting Debut | - | -- | - | - | - | - | - | - | - | -- | ||
| 3 | Mike Litoris | 1B | 2 | 1 | 2 | 3 | 0 | 0 | Hitting Debut | 3 | Tex Wolffe | SS | 2 | 0 | 0 | 0 | 0 | 0 | .000 |
| 4 | Perry Platypus | CF | 3 | 0 | 1 | 1 | 0 | 0 | Hitting Debut | 4 | Chase Hillinger | 1B | 2 | 0 | 1 | 0 | 0 | 0 | .500 |
| 5 | Ryan PINGU | C | 3 | 0 | 0 | 0 | 0 | 0 | Hitting Debut | 5 | Ovaltine Jenkins II | 1 | 0 | 0 | 0 | 1 | 0 | .000 | |
| 6 | Phillip Mahooters | LF | 3 | 1 | 1 | 0 | 0 | 1 | Hitting Debut | 6 | Morris Deratt | C | 1 | 0 | 0 | 0 | 0 | 0 | .000 |
| RF | 0 | 0 | 0 | 0 | 0 | 0 | Hitting Debut | - | -- | - | - | - | - | - | - | - | -- | ||
| 7 | Pang Winn | RF | 2 | 1 | 1 | 2 | 0 | 0 | Hitting Debut | 7 | Ax Finesse | LF | 1 | 0 | 0 | 0 | 0 | 0 | .000 |
| 8 | Peter Hoomanawanui | 2B | 2 | 1 | 1 | 1 | 0 | 0 | Hitting Debut | 8 | Mikel Jardin | 3B | 1 | 0 | 0 | 0 | 0 | 0 | .000 |
| - | -- | - | - | - | - | - | - | - | -- | 1 | 0 | 0 | 0 | 0 | 1 | .000 | |||
| 9 | Daniel Dove | DH | 2 | 1 | 1 | 0 | 0 | 0 | Hitting Debut | 9 | Johnnie Twofingers | 0 | 0 | 0 | 0 | 0 | 0 | .000 |
##PITCHERS
| SSC | IP | H | ER | BB | SO | ERA | BAC | IP | H | ER | BB | SO | ERA |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Mattress | 4.1 | 1 | 0 | 1 | 2 | Pitching Debut | Alexander Hamilton II | 3.1 | 4 | 4 | 1 | 3 | Pitching Debut |
| -- | - | - | - | - | - | -- | Ovaltine Jenkins II | 1.2 | 5 | 4 | 0 | 0 | Pitching Debut |
##SCORING PLAYS
| Inning | Play | Score |
|---|
#N/A #N/A #N/A #N/A #N/A B5|Ryan PINGU grounds into double play, Mike Litoris scores| -
##DUE UP Morris Deratt
Last Updated at 2022-01-24 20:57:33.124619
Hi, so my sister and I talk about this often. We watched a, for lack of a better word, dark Sesame Street movie when we were kids.
I can’t remember it all except I believe there was death and someone of the SS gang became a star.
It really featured Big Bird.
We were raised super religious so we loved this movie because our parents had no idea and we felt like we were rebelling when we’d watch it.
I have searched high and low and can’t find it anywhere.
Can we steal/extract a SOTA Machine Learning Model via just the Prediction Apis? and that too with a budget under 500$?
This paper showcases exactly that by exploiting the models trained via transfer learning methods. Author's also proposes multiple defense strategies like Membership classification and API watermarking to make these models robust to model extraction attacks.
https://youtu.be/ueC2a3hlBVs
