#codaspy21 search results

The #codaspy21 Best Paper Award goes to "Membership Inference Attacks and Defenses in Classification Models" by Jiacheng Li, Ninghui Li and Bruno Ribeiro from @PurdueCS. Congratulations!

acmcodaspy's tweet image. The #codaspy21 Best Paper Award goes to "Membership Inference Attacks and Defenses in Classification Models" by Jiacheng Li, Ninghui Li and Bruno Ribeiro from @PurdueCS. Congratulations!

#codaspy21 facts: 106 papers, 22+4 accepted, 395 reviews, 13 countries with >= 5 authors. A look back at 10 years of #codaspy: h5 index 28 and h5 median 50!

acmcodaspy's tweet image. #codaspy21 facts: 106 papers, 22+4 accepted, 395 reviews, 13 countries with >= 5 authors. A look back at 10 years of #codaspy: h5 index 28 and h5 median 50!
acmcodaspy's tweet image. #codaspy21 facts: 106 papers, 22+4 accepted, 395 reviews, 13 countries with >= 5 authors. A look back at 10 years of #codaspy: h5 index 28 and h5 median 50!
acmcodaspy's tweet image. #codaspy21 facts: 106 papers, 22+4 accepted, 395 reviews, 13 countries with >= 5 authors. A look back at 10 years of #codaspy: h5 index 28 and h5 median 50!

Submit your work to #codaspy21! Deadlines extended to Oct. 4 (abstract) and Oct. 11 (paper). #codaspy21 will be held virtually on April 26-28, 2021.

acmcodaspy's tweet image. Submit your work to #codaspy21! Deadlines extended to Oct. 4 (abstract) and Oct. 11 (paper). #codaspy21 will be held virtually on April 26-28, 2021.

“When models learn too much. “ Dr. David Evans @UdacityDave of University of Virginia gave a keynote talk on different inference risks for machine learning models this morning at #codaspy21

acmcodaspy's tweet image. “When models learn too much. “ Dr. David Evans @UdacityDave of University of Virginia gave a keynote talk on different inference risks for machine learning models this morning at #codaspy21
acmcodaspy's tweet image. “When models learn too much. “ Dr. David Evans @UdacityDave of University of Virginia gave a keynote talk on different inference risks for machine learning models this morning at #codaspy21
acmcodaspy's tweet image. “When models learn too much. “ Dr. David Evans @UdacityDave of University of Virginia gave a keynote talk on different inference risks for machine learning models this morning at #codaspy21

The #codaspy21 Best Poster Award goes to "Assessing the Alignment of Social Robots with Trustworthy AI Design Guidelines: A Preliminary Research Study" by Chattopadhyay et al. from Northern Kentucky University @nku_informatics. Congratulations!

acmcodaspy's tweet image. The #codaspy21 Best Poster Award goes to "Assessing the Alignment of Social Robots with Trustworthy AI Design Guidelines: A Preliminary Research Study" by Chattopadhyay et al. from Northern Kentucky University @nku_informatics. Congratulations!

The #codaspy21 Lasting Research Award goes to Daphne Yao @yaogroup1 of Virginia Tech for her pioneering research contributions sustained for around over two decades in Enterprise data exposure detection, high-precision vulnerability screening, and anomaly detection. Congrats!

acmcodaspy's tweet image. The #codaspy21 Lasting Research Award goes to Daphne Yao @yaogroup1 of Virginia Tech for her pioneering research contributions sustained for around over two decades in Enterprise data exposure detection, high-precision vulnerability screening, and anomaly detection. Congrats!

#codaspy21 All good things must come to an end. Thanks everyone for making it happen! We are looking forward to seeing you all again next year - hopefully in the Baltimore-Washington DC area in April! #codaspy22

acmcodaspy's tweet image. #codaspy21 All good things must come to an end. Thanks everyone for making it happen! We are looking forward to seeing you all again next year - hopefully in the Baltimore-Washington DC area in April! #codaspy22

Day 2 of #codaspy21 starts with a keynote talk by Dr. Daphne Yao (@yaogroup1) of Virginia Tech. She is talking about gaps, successes, and opportunities in measurable and deployable security. Come join us right now!

acmcodaspy's tweet image. Day 2 of #codaspy21 starts with a keynote talk by Dr. Daphne Yao (@yaogroup1) of Virginia Tech. She is talking about gaps, successes, and opportunities in measurable and deployable security. Come join us right now!

Day 3 of #codaspy21 features a distinguished talk on Diversity, Equity and Inclusion from Dr. Bhavani Thuraisingham @CyberUTD (UT Dallas) and three workshops. We will also announce the best paper and poster awards shortly! Join us now!

acmcodaspy's tweet image. Day 3 of #codaspy21 features a distinguished talk on Diversity, Equity and Inclusion from Dr. Bhavani Thuraisingham @CyberUTD (UT Dallas) and three workshops. We will also announce the best paper and poster awards shortly! Join us now!

Ancile, our feature-based debloating system that hardens CFI target sets per-location is, after quite some rounds, finally out #CODASPY21. Per-location hardening improves CFI precision, further limiting attacks. Feedback/questions welcome! nebelwelt.net/files/21CODASP…

gannimo's tweet image. Ancile, our feature-based debloating system that hardens CFI target sets per-location is, after quite some rounds, finally out #CODASPY21. Per-location hardening improves CFI precision, further limiting attacks. Feedback/questions welcome! nebelwelt.net/files/21CODASP…
gannimo's tweet image. Ancile, our feature-based debloating system that hardens CFI target sets per-location is, after quite some rounds, finally out #CODASPY21. Per-location hardening improves CFI precision, further limiting attacks. Feedback/questions welcome! nebelwelt.net/files/21CODASP…
gannimo's tweet image. Ancile, our feature-based debloating system that hardens CFI target sets per-location is, after quite some rounds, finally out #CODASPY21. Per-location hardening improves CFI precision, further limiting attacks. Feedback/questions welcome! nebelwelt.net/files/21CODASP…

Want to customize LLVM-CFI to your test cases/functionality? #HexHive's @amipri rocking the virtual @acmcodaspy stage for #codaspy21. Check out the paper at nebelwelt.net/files/21CODASP… and source at github.com/HexHive/Ancile

gannimo's tweet image. Want to customize LLVM-CFI to your test cases/functionality? #HexHive's @amipri rocking the virtual @acmcodaspy stage for #codaspy21. Check out the paper at nebelwelt.net/files/21CODASP… and source at github.com/HexHive/Ancile

It's only less than 3 hours away from #codaspy21! Please check your inbox for the Zoom meeting info. DM us if you haven't got it. We are thrilled to see you in the conference!


#codaspy21 accepted papers are out! Congratulations to all authors! And many thanks to the PC team for your hard work! Check out the paper list at codaspy.org/2021/accepted.… Registration info and tentative program will be announced soon!


The #codaspy21 poster submission deadline has been extended to Jan 25, 2021. See the detailed call-for-posters: codaspy.org/2021/call-for-…


#codaspy21 is only two days away! You may get a *complimentary* access as a participant to the conference and three workshops. Please follow the guidelines: codaspy.org/2021/registrat…


#codaspy21 Lasting Research Award committee is soliciting nominations for the award! Please email the nomination to Dr. Bhavani (@CyberUTD) by Feb 15, 2021. Check out more info at codaspy.org/2021/call-for-…


#codaspy21 All good things must come to an end. Thanks everyone for making it happen! We are looking forward to seeing you all again next year - hopefully in the Baltimore-Washington DC area in April! #codaspy22

acmcodaspy's tweet image. #codaspy21 All good things must come to an end. Thanks everyone for making it happen! We are looking forward to seeing you all again next year - hopefully in the Baltimore-Washington DC area in April! #codaspy22

The #codaspy21 Best Paper Award goes to "Membership Inference Attacks and Defenses in Classification Models" by Jiacheng Li, Ninghui Li and Bruno Ribeiro from @PurdueCS. Congratulations!

acmcodaspy's tweet image. The #codaspy21 Best Paper Award goes to "Membership Inference Attacks and Defenses in Classification Models" by Jiacheng Li, Ninghui Li and Bruno Ribeiro from @PurdueCS. Congratulations!

The #codaspy21 Best Poster Award goes to "Assessing the Alignment of Social Robots with Trustworthy AI Design Guidelines: A Preliminary Research Study" by Chattopadhyay et al. from Northern Kentucky University @nku_informatics. Congratulations!

acmcodaspy's tweet image. The #codaspy21 Best Poster Award goes to "Assessing the Alignment of Social Robots with Trustworthy AI Design Guidelines: A Preliminary Research Study" by Chattopadhyay et al. from Northern Kentucky University @nku_informatics. Congratulations!

The #codaspy21 Lasting Research Award goes to Daphne Yao @yaogroup1 of Virginia Tech for her pioneering research contributions sustained for around over two decades in Enterprise data exposure detection, high-precision vulnerability screening, and anomaly detection. Congrats!

acmcodaspy's tweet image. The #codaspy21 Lasting Research Award goes to Daphne Yao @yaogroup1 of Virginia Tech for her pioneering research contributions sustained for around over two decades in Enterprise data exposure detection, high-precision vulnerability screening, and anomaly detection. Congrats!

“When models learn too much. “ Dr. David Evans @UdacityDave of University of Virginia gave a keynote talk on different inference risks for machine learning models this morning at #codaspy21

acmcodaspy's tweet image. “When models learn too much. “ Dr. David Evans @UdacityDave of University of Virginia gave a keynote talk on different inference risks for machine learning models this morning at #codaspy21
acmcodaspy's tweet image. “When models learn too much. “ Dr. David Evans @UdacityDave of University of Virginia gave a keynote talk on different inference risks for machine learning models this morning at #codaspy21
acmcodaspy's tweet image. “When models learn too much. “ Dr. David Evans @UdacityDave of University of Virginia gave a keynote talk on different inference risks for machine learning models this morning at #codaspy21

Want to customize LLVM-CFI to your test cases/functionality? #HexHive's @amipri rocking the virtual @acmcodaspy stage for #codaspy21. Check out the paper at nebelwelt.net/files/21CODASP… and source at github.com/HexHive/Ancile

gannimo's tweet image. Want to customize LLVM-CFI to your test cases/functionality? #HexHive's @amipri rocking the virtual @acmcodaspy stage for #codaspy21. Check out the paper at nebelwelt.net/files/21CODASP… and source at github.com/HexHive/Ancile

It's only less than 3 hours away from #codaspy21! Please check your inbox for the Zoom meeting info. DM us if you haven't got it. We are thrilled to see you in the conference!


Ancile, our feature-based debloating system that hardens CFI target sets per-location is, after quite some rounds, finally out #CODASPY21. Per-location hardening improves CFI precision, further limiting attacks. Feedback/questions welcome! nebelwelt.net/files/21CODASP…

gannimo's tweet image. Ancile, our feature-based debloating system that hardens CFI target sets per-location is, after quite some rounds, finally out #CODASPY21. Per-location hardening improves CFI precision, further limiting attacks. Feedback/questions welcome! nebelwelt.net/files/21CODASP…
gannimo's tweet image. Ancile, our feature-based debloating system that hardens CFI target sets per-location is, after quite some rounds, finally out #CODASPY21. Per-location hardening improves CFI precision, further limiting attacks. Feedback/questions welcome! nebelwelt.net/files/21CODASP…
gannimo's tweet image. Ancile, our feature-based debloating system that hardens CFI target sets per-location is, after quite some rounds, finally out #CODASPY21. Per-location hardening improves CFI precision, further limiting attacks. Feedback/questions welcome! nebelwelt.net/files/21CODASP…

#codaspy21 Lasting Research Award committee is soliciting nominations for the award! Please email the nomination to Dr. Bhavani (@CyberUTD) by Feb 15, 2021. Check out more info at codaspy.org/2021/call-for-…


The #codaspy21 poster submission deadline has been extended to Jan 25, 2021. See the detailed call-for-posters: codaspy.org/2021/call-for-…


Submit your work to #codaspy21! Deadlines extended to Oct. 4 (abstract) and Oct. 11 (paper). #codaspy21 will be held virtually on April 26-28, 2021.

acmcodaspy's tweet image. Submit your work to #codaspy21! Deadlines extended to Oct. 4 (abstract) and Oct. 11 (paper). #codaspy21 will be held virtually on April 26-28, 2021.

No results for "#codaspy21"

The #codaspy21 Best Paper Award goes to "Membership Inference Attacks and Defenses in Classification Models" by Jiacheng Li, Ninghui Li and Bruno Ribeiro from @PurdueCS. Congratulations!

acmcodaspy's tweet image. The #codaspy21 Best Paper Award goes to "Membership Inference Attacks and Defenses in Classification Models" by Jiacheng Li, Ninghui Li and Bruno Ribeiro from @PurdueCS. Congratulations!

“When models learn too much. “ Dr. David Evans @UdacityDave of University of Virginia gave a keynote talk on different inference risks for machine learning models this morning at #codaspy21

acmcodaspy's tweet image. “When models learn too much. “ Dr. David Evans @UdacityDave of University of Virginia gave a keynote talk on different inference risks for machine learning models this morning at #codaspy21
acmcodaspy's tweet image. “When models learn too much. “ Dr. David Evans @UdacityDave of University of Virginia gave a keynote talk on different inference risks for machine learning models this morning at #codaspy21
acmcodaspy's tweet image. “When models learn too much. “ Dr. David Evans @UdacityDave of University of Virginia gave a keynote talk on different inference risks for machine learning models this morning at #codaspy21

#codaspy21 facts: 106 papers, 22+4 accepted, 395 reviews, 13 countries with >= 5 authors. A look back at 10 years of #codaspy: h5 index 28 and h5 median 50!

acmcodaspy's tweet image. #codaspy21 facts: 106 papers, 22+4 accepted, 395 reviews, 13 countries with >= 5 authors. A look back at 10 years of #codaspy: h5 index 28 and h5 median 50!
acmcodaspy's tweet image. #codaspy21 facts: 106 papers, 22+4 accepted, 395 reviews, 13 countries with >= 5 authors. A look back at 10 years of #codaspy: h5 index 28 and h5 median 50!
acmcodaspy's tweet image. #codaspy21 facts: 106 papers, 22+4 accepted, 395 reviews, 13 countries with >= 5 authors. A look back at 10 years of #codaspy: h5 index 28 and h5 median 50!

The #codaspy21 Lasting Research Award goes to Daphne Yao @yaogroup1 of Virginia Tech for her pioneering research contributions sustained for around over two decades in Enterprise data exposure detection, high-precision vulnerability screening, and anomaly detection. Congrats!

acmcodaspy's tweet image. The #codaspy21 Lasting Research Award goes to Daphne Yao @yaogroup1 of Virginia Tech for her pioneering research contributions sustained for around over two decades in Enterprise data exposure detection, high-precision vulnerability screening, and anomaly detection. Congrats!

The #codaspy21 Best Poster Award goes to "Assessing the Alignment of Social Robots with Trustworthy AI Design Guidelines: A Preliminary Research Study" by Chattopadhyay et al. from Northern Kentucky University @nku_informatics. Congratulations!

acmcodaspy's tweet image. The #codaspy21 Best Poster Award goes to "Assessing the Alignment of Social Robots with Trustworthy AI Design Guidelines: A Preliminary Research Study" by Chattopadhyay et al. from Northern Kentucky University @nku_informatics. Congratulations!

Day 2 of #codaspy21 starts with a keynote talk by Dr. Daphne Yao (@yaogroup1) of Virginia Tech. She is talking about gaps, successes, and opportunities in measurable and deployable security. Come join us right now!

acmcodaspy's tweet image. Day 2 of #codaspy21 starts with a keynote talk by Dr. Daphne Yao (@yaogroup1) of Virginia Tech. She is talking about gaps, successes, and opportunities in measurable and deployable security. Come join us right now!

Submit your work to #codaspy21! Deadlines extended to Oct. 4 (abstract) and Oct. 11 (paper). #codaspy21 will be held virtually on April 26-28, 2021.

acmcodaspy's tweet image. Submit your work to #codaspy21! Deadlines extended to Oct. 4 (abstract) and Oct. 11 (paper). #codaspy21 will be held virtually on April 26-28, 2021.

Day 3 of #codaspy21 features a distinguished talk on Diversity, Equity and Inclusion from Dr. Bhavani Thuraisingham @CyberUTD (UT Dallas) and three workshops. We will also announce the best paper and poster awards shortly! Join us now!

acmcodaspy's tweet image. Day 3 of #codaspy21 features a distinguished talk on Diversity, Equity and Inclusion from Dr. Bhavani Thuraisingham @CyberUTD (UT Dallas) and three workshops. We will also announce the best paper and poster awards shortly! Join us now!

#codaspy21 All good things must come to an end. Thanks everyone for making it happen! We are looking forward to seeing you all again next year - hopefully in the Baltimore-Washington DC area in April! #codaspy22

acmcodaspy's tweet image. #codaspy21 All good things must come to an end. Thanks everyone for making it happen! We are looking forward to seeing you all again next year - hopefully in the Baltimore-Washington DC area in April! #codaspy22

Ancile, our feature-based debloating system that hardens CFI target sets per-location is, after quite some rounds, finally out #CODASPY21. Per-location hardening improves CFI precision, further limiting attacks. Feedback/questions welcome! nebelwelt.net/files/21CODASP…

gannimo's tweet image. Ancile, our feature-based debloating system that hardens CFI target sets per-location is, after quite some rounds, finally out #CODASPY21. Per-location hardening improves CFI precision, further limiting attacks. Feedback/questions welcome! nebelwelt.net/files/21CODASP…
gannimo's tweet image. Ancile, our feature-based debloating system that hardens CFI target sets per-location is, after quite some rounds, finally out #CODASPY21. Per-location hardening improves CFI precision, further limiting attacks. Feedback/questions welcome! nebelwelt.net/files/21CODASP…
gannimo's tweet image. Ancile, our feature-based debloating system that hardens CFI target sets per-location is, after quite some rounds, finally out #CODASPY21. Per-location hardening improves CFI precision, further limiting attacks. Feedback/questions welcome! nebelwelt.net/files/21CODASP…

Want to customize LLVM-CFI to your test cases/functionality? #HexHive's @amipri rocking the virtual @acmcodaspy stage for #codaspy21. Check out the paper at nebelwelt.net/files/21CODASP… and source at github.com/HexHive/Ancile

gannimo's tweet image. Want to customize LLVM-CFI to your test cases/functionality? #HexHive's @amipri rocking the virtual @acmcodaspy stage for #codaspy21. Check out the paper at nebelwelt.net/files/21CODASP… and source at github.com/HexHive/Ancile

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