Infosecurity.US

Information Security & Occasional Forays Into Adjacent Realms

  • Web Log

DEF CON 28 Safe Mode AI Village - Erick Galinkin's 'Baby's First 100 MLSec Words' →

October 12, 2020 by Marc Handelman in DEF CON, AI Village, Conferences, Education, Information Security, Cyber Security, Application Security, AI Security

Many thanks to DEF CON and Conference Speakers for publishing their outstanding presentations; of which, originally appeared at the organization's DEFCON 28 SAFE MODE Conference, and on the DEF CON YouTube channel. Enjoy!

October 12, 2020 /Marc Handelman
DEF CON, AI Village, Conferences, Education, Information Security, Cyber Security, Application Security, AI Security

DEF CON 28 Safe Mode AI Village - Younghoo Lee's & Joshua Saxe's 'Detecting Social Engineering Emails With A Bleeding Edge Neural Model' →

October 11, 2020 by Marc Handelman in DEF CON, AI Village, Conferences, Education, Information Security, Cyber Security, Application Security, AI Security

Many thanks to DEF CON and Conference Speakers for publishing their outstanding presentations; of which, originally appeared at the organization's DEFCON 28 SAFE MODE Conference, and on the DEF CON YouTube channel. Enjoy!

October 11, 2020 /Marc Handelman
DEF CON, AI Village, Conferences, Education, Information Security, Cyber Security, Application Security, AI Security

DEF CON 28 Safe Mode AI Village - 'Workshop - Adversarial Machine Learning: Attacking AMSI Providers' →

October 11, 2020 by Marc Handelman in DEF CON, AI Village, Conferences, Education, Information Security, Cyber Security, Application Security, AI Security

Many thanks to DEF CON and Conference Speakers for publishing their outstanding presentations; of which, originally appeared at the organization's DEFCON 28 SAFE MODE Conference, and on the DEF CON YouTube channel. Enjoy!

October 11, 2020 /Marc Handelman
DEF CON, AI Village, Conferences, Education, Information Security, Cyber Security, Application Security, AI Security

DEF CON 28 Safe Mode AI Village - Vahid Behdazan's 'Security Challenges In Deep Reinforcement Learning' →

October 10, 2020 by Marc Handelman in DEF CON, AI Village, Conferences, Education, Information Security, Cyber Security, Application Security, AI Security

Many thanks to DEF CON and Conference Speakers for publishing their outstanding presentations; of which, originally appeared at the organization's DEFCON 28 SAFE MODE Conference, and on the DEF CON YouTube channel. Enjoy!

October 10, 2020 /Marc Handelman
DEF CON, AI Village, Conferences, Education, Information Security, Cyber Security, Application Security, AI Security

DEF CON 28 Safe Mode AI Village - GTKlondike's 'Hacking with Skynet: How AI Is Empowering Adversaries' →

October 10, 2020 by Marc Handelman in DEF CON, AI Village, Conferences, Education, Information Security, Cyber Security, Application Security, AI Security

Many thanks to DEF CON and Conference Speakers for publishing their outstanding presentations; of which, originally appeared at the organization's DEFCON 28 SAFE MODE Conference, and on the DEF CON YouTube channel. Enjoy!

October 10, 2020 /Marc Handelman
DEF CON, AI Village, Conferences, Education, Information Security, Cyber Security, Application Security, AI Security

DEF CON 28 Safe Mode AI Village - Sven Cattell (@comathematician)'s 'Hyperlocal Drift Detection With Goko' →

October 09, 2020 by Marc Handelman in DEF CON, AI Village, Conferences, Education, Information Security, Cyber Security, Application Security, AI Security

Many thanks to DEF CON and Conference Speakers for publishing their outstanding presentations; of which, originally appeared at the organization's DEFCON 28 SAFE MODE Conference, and on the DEF CON YouTube channel. Enjoy!

October 09, 2020 /Marc Handelman
DEF CON, AI Village, Conferences, Education, Information Security, Cyber Security, Application Security, AI Security

DEF CON 28 Safe Mode AI Village - Journal Club Live's 'Fawkes Facial Recognition' →

October 09, 2020 by Marc Handelman in DEF CON, AI Village, Conferences, Education, Information Security, Cyber Security, Application Security, AI Security

Many thanks to DEF CON and Conference Speakers for publishing their outstanding presentations; of which, originally appeared at the organization's DEFCON 28 SAFE MODE Conference, and on the DEF CON YouTube channel. Enjoy!

October 09, 2020 /Marc Handelman
DEF CON, AI Village, Conferences, Education, Information Security, Cyber Security, Application Security, AI Security

DEF CON 28 Safe Mode AI Village - Journal Club Live's 'Pursuit Of Exploitable Bugs In Machine Learning' →

October 08, 2020 by Marc Handelman in DEF CON, AI Village, AI Security, Conferences, Education, Information Security, Cyber Security, Application Security

October 08, 2020 /Marc Handelman
DEF CON, AI Village, AI Security, Conferences, Education, Information Security, Cyber Security, Application Security

DEF CON 28 Safe Mode AI Village - Hyrum Anderson's & Zoltan Balaz' 'Machine Learning Competition 2020' →

October 08, 2020 by Marc Handelman in DEFCON, AI Village, Conferences, Education, Information Security, Cyber Security, Application Security, AI Security

October 08, 2020 /Marc Handelman
DEFCON, AI Village, Conferences, Education, Information Security, Cyber Security, Application Security, AI Security

DEF CON 28 Safe Mode AI Village - Leo Meyerovich's 'Project Domino: Citizen Data Science Against COVID Misinformation' →

October 07, 2020 by Marc Handelman in DEF CON, AI Village, Conferences, Education, Information Security, Cyber Security, Application Security, AI Security

Many thanks to DEF CON and Conference Speakers for publishing their outstanding presentations; of which, originally appeared at the organization's DEF CON 28 SAFE MODE Conference, and on the DEF CON YouTube channel. Enjoy!

Additionally, Leo Meyerovich's 'Project Domino has a tremendous GitHub Project Repository, visit today!

October 07, 2020 /Marc Handelman
DEF CON, AI Village, Conferences, Education, Information Security, Cyber Security, Application Security, AI Security

DEF CON 28 Safe Mode AI Village - Nahid Farhady's 'A Dive Into Privacy-Preserving Machine Learning' →

October 07, 2020 by Marc Handelman in DEF CON, AI Village, Conferences, Education, Information Security, Cyber Security, Application Security, AI Security

Many thanks to DEF CON and Conference Speakers for publishing their outstanding presentations; of which, originally appeared at the organization's DEFCON 28 SAFE MODE Conference, and on the DEF CON YouTube channel. Enjoy!

October 07, 2020 /Marc Handelman
DEF CON, AI Village, Conferences, Education, Information Security, Cyber Security, Application Security, AI Security

DEF CON 28 Safe Mode AI Village - Nahid Farhady's And Vincent Pham's 'Spectrum Framework For ML Based Threat Monitoring' →

October 06, 2020 by Marc Handelman in DEF CON, AI Village, Conferences, Education, Information Security, Cyber Security, Application Security, AI Security

Many thanks to DEF CON and Conference Speakers for publishing their comprehensive and outstanding presentations; of which, originally appeared at the organization's DEFCON 28 SAFE MODE Conference, and on the DEF CON YouTube channel. Enjoy!

October 06, 2020 /Marc Handelman
DEF CON, AI Village, Conferences, Education, Information Security, Cyber Security, Application Security, AI Security

Malicious AI →

May 30, 2018 by Marc Handelman in Artificial Intelligence, AI Security

Today's Must Read comes to us from the combined efforts of the authors of this superb paper at arXiv entitled "The Malicious Use of Artificial Intelligence: Forecasting, Prevention, and Mitigation, and written by Miles Brundage, Shahar Avin, Jack Clark, Helen Toner, Peter Eckersley, Ben Garfinkel, Allan Dafoe, Paul Scharre, Thomas Zeitzoff, Bobby Filar, Hyrum Anderson, Heather Roff, Gregory C. Allen, Jacob Steinhardt, Carrick Flynn, Seán Ó hÉigeartaigh, Simon Beard, Haydn Belfield, Sebastian Farquhar, Clare Lyle, Rebecca Crootof, Owain Evans, Michael Page, Joanna Bryson*, Roman Yampolskiy and Dario Amodei (please note the attribution by author within the document. Certainly, Todays' Must Read Targeting Artificial Intelligence Gone Awry.

May 30, 2018 /Marc Handelman
Artificial Intelligence, AI Security

via Veterans Empowered to Protect African Wildlife (VETPAW) -  http://vetpaw.org/ and the VETPAW GoFundMe page: https://www.gofundme.com/vetpawsaves

Hunting Poachers, AI Style →

January 10, 2018 by Marc Handelman in AI Security, Animals, Veterans, Endangered Animals, A Force For Good, All is Information, Artificial Intelligence

Today's feature post contains two fundamentally related stories that possess an equanamity of import. Yet the latter of the two is closer to my interests in animal welfare and illustrates US Veteran engagements training rangers and fighting poachers on the savannahs and in the forests of Africa. Read On, and see which is the most important to you; in either case, you be the judge!

Via Jean Kumagai, writing at the Institute of Electrical and Electronics Engineers' Spectrum Magazine, details the utilization of artificial intelligence in the effort to curtail pachyderm poaching. Simply Outstanding.

"AI is usually applied to problems of modern technology, Tambe notes, but this work is different. “We’re using AI to save the natural world—these stunning landscapes and animals that we hope won’t disappear,” he says. “These are important treasures.” - via Jean Kumagai, writing at the IEEE Spectrum Magazine

###

Veterans Empowered to Protect African Wildlife (VETPAW)

"The Story of VETPAW: Ryan Tate has always had two primary passions, and a desire to protect both: his country and animals. As it did for many brave Americans, the call to serve grew louder after the attacks of 9/11.Ryan signed enlistment papers to the U.S. Marine Corps that same year, with a commitment to join “the few, the proud” on his 18th birthday.Several years later, Ryan was exposed to the atrocities of elephant and rhino poaching, and the devastation it was having on East African communities and wildlife alike. He knew he couldn’t sit idly by. All he had to do was consider the men and women he’d served with to see that there is no one better suited to instruct and train park rangers than post-9/11 veterans.Ryan is keenly aware that many U.S. Veterans are un- or underemployed, and would benefit profoundly from the opportunity to serve in another capacity—one that would save lives. With his military experience, he’s able to speak directly to the unique skills that veterans can bring to anti-poaching efforts. He interviewed his colleagues and saw the difficulties and frustrations of men and women who are highly skilled in combat-related areas, but unable to leverage those skills in a conventional civilian setting. They have a continuing dedication to serve others, and Ryan helps them channel it." - via VetPaw

Want to Help Protect Animals from Criminal Poaching? Donate to Veterans Empowered to Protect African Wildlife (VETPAW) and VETPAW GoFundMe.

Veterans Empowered to Protect African Wildlife (VETPAW) is a 501(c)(3) tax-exempt organization, and all donations are tax deductible to the extent provided by law. VETPAW's Federal Identification Number (EIN) is 46-4641830

January 10, 2018 /Marc Handelman
AI Security, Animals, Veterans, Endangered Animals, A Force For Good, All is Information, Artificial Intelligence

MITCSAIL: 'Fooling Image Recognition with Adversarial Examples' →

December 19, 2017 by Marc Handelman in Artificial Intelligence, AI Security

Via the Boffins at the MIT Computer Scientists and Artificial Intelligence Laboratory (MIT CSAIL)

December 19, 2017 /Marc Handelman
Artificial Intelligence, AI Security

From Solving a Higgs optimization problem with quantum annealing for machine learning [https://www.nature.com/nature/journal/v550/n7676/full/nature24047.html ]

The Uncovering →

November 01, 2017 by Marc Handelman in AI Security, All is Information, Information Sciences, Machine Learning, Quantum Mathematics

Via Chris Lee - writing at Ars Technica, comes news of the 'uncovering' of the Higgs Boson particle via the utilization (in the machine-learning realm) of a D-Wave Quantum Computational Device.

'The discovery of Higgs-boson decays in a background of standard-model processes was assisted by machine learning methods 1, 2. The classifiers used to separate signals such as these from background are trained using highly unerring but not completely perfect simulations of the physical processes involved, often resulting in incorrect labelling of background processes or signals (label noise) and systematic errors.' - via Nature 550, 375–379 (19 October 2017) doi:10.1038/nature24047

November 01, 2017 /Marc Handelman
AI Security, All is Information, Information Sciences, Machine Learning, Quantum Mathematics

USENIX Enigma 2017 — Nestan Tsiskaridze's 'Leveraging the Power of Automated Reasoning in Security Analysis of Web Applications and Beyond' →

September 01, 2017 by Marc Handelman in All is Information, Alternate Attack Analysis, AI Security, Conferences, Data That Is Big, Data Driven Security, Education, Information Security, Machine Learning

This is a joint work with Clark Barrett (NYU/Stanford University), Morgan Deters (NYU), Tianyi Liang (The University of Iowa), Andrew Reynolds (The University of Iowa/EPFL), Cesare Tinelli (The University of Iowa) and Nestan Tsiskaridze, University of California, Santa Barbara.

September 01, 2017 /Marc Handelman
All is Information, Alternate Attack Analysis, AI Security, Conferences, Data That Is Big, Data Driven Security, Education, Information Security, Machine Learning

Fast Lightweight Autonomy →

June 30, 2017 by Marc Handelman in All is Information, AI Security, Artificial Intelligence, Information Security

Good, or Evil? You Be The Judge.

June 30, 2017 /Marc Handelman
All is Information, AI Security, Artificial Intelligence, Information Security

AI, L'obscurité →

May 30, 2017 by Marc Handelman in AI Security, All is Information, Artificial Intelligence, Application Security

via the Massachusetts Institute of Technology's MIT Technology Review, comes this superlative piece of artificial intelligence (PDF) reportage. In this case, a particularly dystopian view of AI algorthmical underpinnings - illustrating the profound lack of foresight (inclusive of comprehension) in the utlility of those algorithms. Today's Must Read, Enjoy.

May 30, 2017 /Marc Handelman
AI Security, All is Information, Artificial Intelligence, Application Security