-
Notifications
You must be signed in to change notification settings - Fork 0
/
index.html
368 lines (289 loc) · 14.4 KB
/
index.html
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
167
168
169
170
171
172
173
174
175
176
177
178
179
180
181
182
183
184
185
186
187
188
189
190
191
192
193
194
195
196
197
198
199
200
201
202
203
204
205
206
207
208
209
210
211
212
213
214
215
216
217
218
219
220
221
222
223
224
225
226
227
228
229
230
231
232
233
234
235
236
237
238
239
240
241
242
243
244
245
246
247
248
249
250
251
252
253
254
255
256
257
258
259
260
261
262
263
264
265
266
267
268
269
270
271
272
273
274
275
276
277
278
279
280
281
282
283
284
285
286
287
288
289
290
291
292
293
294
295
296
297
298
299
300
301
302
303
304
305
306
307
308
309
310
311
312
313
314
315
316
317
318
319
320
321
322
323
324
325
326
327
328
329
330
331
332
333
334
335
336
337
338
339
340
341
342
343
344
345
346
347
348
349
350
351
352
353
354
355
356
357
358
359
360
361
362
363
364
365
366
367
368
<link rel="stylesheet" href="https://cdn.jsdelivr.net/npm/[email protected]/dist/css/bootstrap.min.css" integrity="sha384-ggOyR0iXCbMQv3Xipma34MD+dH/1fQ784/j6cY/iJTQUOhcWr7x9JvoRxT2MZw1T" crossorigin="anonymous">
<title>OpenDP Educational Resources</title>
<style>
body {
background: #ffffff;
min-height: 100vh;
}
.text-gray {
color: #aaa;
}
</style>
<div class="container py-5">
<!-- For demo purpose -->
<div class="row text-center text-black mb-5">
<div class="col-lg-7 mx-auto">
<h1 class="display-4">Educational Resources</h1>
<p class="lead mb-0">Learn more about differential privacy</p>
<p class="lead mb-0">To suggest a resource, <a href="https://forms.gle/G2z4k4jWiNpnFEzEA">fill out this form</a></p>
</p>
</div>
</div>
<!-- End -->
<hr>
<div class="row text-center text-black mb-5">
<div class="col-lg-7 mx-auto">
<h3 class="display-6">Blog Series</h1>
</p>
</div>
</div>
<div class="row">
<div class="col-lg-8 mx-auto">
<!-- List group-->
<ul class="list-group shadow">
<!-- list group item-->
<a href="https://differentialprivacy.org/">
<li class="list-group-item">
<!-- Custom content-->
<div class="media align-items-lg-center flex-column flex-lg-row p-3">
<div class="media-body order-2 order-lg-1">
<h5 class="mt-0 font-weight-bold mb-2">DifferentialPrivacy.org</h5>
<h6 class="font-weight-bold my-2">Author: Various</h6>
<p class="font-italic text-muted mb-0 small">
A blog with many DP resources, aimed at a variety of audiences.
</p>
<span class="badge badge-secondary">Technical</span>
<span class="badge badge-secondary">Somewhat Technical</span>
<span class="badge badge-secondary">Blog Posts</span>
</div>
</div>
<!-- End -->
</li>
</a>
<!-- End -->
<!-- list group item-->
<a href="https://desfontain.es/privacy/friendly-intro-to-differential-privacy.html">
<li class="list-group-item">
<!-- Custom content-->
<div class="media align-items-lg-center flex-column flex-lg-row p-3">
<div class="media-body order-2 order-lg-1">
<h5 class="mt-0 font-weight-bold mb-2">A friendly, non-technical introduction to differential privacy</h5>
<h6 class="font-weight-bold my-2">Author: Damien Desfontaines</h6>
<p class="font-italic text-muted mb-0 small">
A friendly blog post series about differential privacy! It provides simple explanations for the core concepts behind differential privacy. It is meant for a wide, non-technical audience: it doesn't assume any prior knowledge, uses as little math as possible, and illustrates everything with simple examples and diagrams.
</p>
<span class="badge badge-secondary">Somewhat Technical</span>
<span class="badge badge-secondary">Blog Posts</span>
</div>
</div>
<!-- End -->
</li>
</a>
<!-- End -->
<!-- list group item-->
<a href="https://www.nist.gov/itl/applied-cybersecurity/privacy-engineering/collaboration-space/blog-series/differential-privacy">
<li class="list-group-item">
<!-- Custom content-->
<div class="media align-items-lg-center flex-column flex-lg-row p-3">
<div class="media-body order-2 order-lg-1">
<h5 class="mt-0 font-weight-bold mb-2">NIST Differential Privacy Blog Series</h5>
<h6 class="font-weight-bold my-2">Author: Various</h6>
<p class="font-italic text-muted mb-0 small">
This series is designed to help business process owners and privacy program personnel understand basic concepts about differential privacy and applicable use cases and to help privacy engineers and IT professionals implement the tools.
</p>
<span class="badge badge-secondary">Somewhat Technical</span>
<span class="badge badge-secondary">Blog Posts</span>
</div>
</div>
<!-- End -->
</li>
</a>
<!-- End -->
</ul>
<!-- End -->
</div>
</div>
<hr>
<div class="row text-center text-black mb-5">
<div class="col-lg-7 mx-auto">
<h3 class="display-6">Courses</h1>
</p>
</div>
</div>
<div class="row">
<div class="col-lg-8 mx-auto">
<!-- List group-->
<ul class="list-group shadow">
<!-- list group item-->
<a href="http://www.gautamkamath.com/CS860-fa2020.html">
<li class="list-group-item">
<!-- Custom content-->
<div class="media align-items-lg-center flex-column flex-lg-row p-3">
<div class="media-body order-2 order-lg-1">
<h5 class="mt-0 font-weight-bold mb-2">CS 860 - Algorithms for Private Data Analysis</h5>
<h6 class="font-weight-bold my-2">Author: Gautam Kamath</h6>
<p class="font-italic text-muted mb-0 small">
This course is on algorithms for differentially private analysis of data. As necessitated by the nature of differential privacy, this course will be theoretically and mathematically based. References to practice will be provided as relevant, especially towards the end of the course. Prerequisites include an undergraduate understanding of algorithms, comfort with probability, and mathematical maturity.
</p>
<span class="badge badge-secondary">Technical</span>
<span class="badge badge-secondary">Course Notes</span>
<span class="badge badge-secondary">Videos</span>
</div>
</div>
<!-- End -->
</li>
</a>
<!-- End -->
<!-- list group item-->
<a href="https://dpcourse.github.io/">
<li class="list-group-item">
<!-- Custom content-->
<div class="media align-items-lg-center flex-column flex-lg-row p-3">
<div class="media-body order-2 order-lg-1">
<h5 class="mt-0 font-weight-bold mb-2">Privacy in Statistics and Machine Learning</h5>
<h6 class="font-weight-bold my-2">Author: Adam Smith, Jonathan Ullman</h6>
<p class="font-italic text-muted mb-0 small">
How can we learn from a data set of sensitive information while providing meaningful privacy to the individuals whose information it contains? The course explores this question, starting from the problems faced by straightforward solutions and moving on to rigorous state-of-the-art solutions using differential privacy. The class will focus on foundations, but also delve into some applied work and on some of the social, ethical, and legal context for the subject. Students will be required to complete some mathematical assignments, some light programming assignments, and a final course project.
</p>
<span class="badge badge-secondary">Technical</span>
<span class="badge badge-secondary">Course Notes</span>
<span class="badge badge-secondary">Videos</span>
</div>
</div>
<!-- End -->
</li>
</a>
<!-- End -->
<!-- list group item-->
<a href="https://opendp.github.io/cs208/">
<li class="list-group-item">
<!-- Custom content-->
<div class="media align-items-lg-center flex-column flex-lg-row p-3">
<div class="media-body order-2 order-lg-1">
<h5 class="mt-0 font-weight-bold mb-2">CS 208 - Applied Privacy for Data Science</h5>
<h6 class="font-weight-bold my-2">Author: Salil Vadhan, James Honaker, Wanrong Zhang</h6>
<p class="font-italic text-muted mb-0 small">
The risks to privacy when making human subjects data available for research and how to protect against these risks using the formal framework of differential privacy. Methods for attacking statistical data releases, the mathematics of and software implementations of differential privacy, deployed solutions in industry and government. Assignments will include implementation and experimentation on data science tasks.
</p>
<span class="badge badge-secondary">Technical</span>
<span class="badge badge-secondary">Course Notes</span>
</div>
</div>
<!-- End -->
</li>
</a>
<!-- End -->
</ul>
<!-- End -->
</div>
</div>
<hr>
<div class="row text-center text-black mb-5">
<div class="col-lg-7 mx-auto">
<h3 class="display-6">Articles</h1>
</p>
</div>
</div>
<div class="row">
<div class="col-lg-8 mx-auto">
<!-- List group-->
<ul class="list-group shadow">
<!-- list group item-->
<a href="https://admindatahandbook.mit.edu/book/v1.0/diffpriv.html">
<li class="list-group-item">
<!-- Custom content-->
<div class="media align-items-lg-center flex-column flex-lg-row p-3">
<div class="media-body order-2 order-lg-1">
<h5 class="mt-0 font-weight-bold mb-2">Designing Access with Differential Privacy</h5>
<h6 class="font-weight-bold my-2">Author: Alexandra Wood, Micah Altman, Kobbi Nissim, Salil Vadhan</h6>
<p class="font-italic text-muted mb-0 small">
A (shorter) successor to the Non-technical Primer on Differential Privacy, with a more operational focus on helping policymakers and others think broadly about deploying differential privacy.
</p>
<span class="badge badge-secondary">Non-technical</span>
</div>
</div>
<!-- End -->
</li>
</a>
<!-- End -->
<!-- list group item-->
<a href="https://salil.seas.harvard.edu/sites/scholar.harvard.edu/files/salil/files/differential_privacy_primer_nontechnical_audience.pdf">
<li class="list-group-item">
<!-- Custom content-->
<div class="media align-items-lg-center flex-column flex-lg-row p-3">
<div class="media-body order-2 order-lg-1">
<h5 class="mt-0 font-weight-bold mb-2">A Non-technical Primer on Differential Privacy</h5>
<h6 class="font-weight-bold my-2">Author: Alexandra Wood, Micah Altman, Aaron Bembenek, Mark Bun, Marco Gaboardi, James Honaker, Kobbi Nissim, David R. O'Brien, Thomas Steinke & Salil Vadhan</h6>
<p class="font-italic text-muted mb-0 small">
This primer seeks to introduce the concept of differential privacy and its privacy implications to non-technical audiences. It provides a simplified and informal, but mathematically accurate, description of differential privacy.
</p>
<span class="badge badge-secondary">Non-technical</span>
</div>
</div>
<!-- End -->
</li>
</a>
<!-- End -->
<!-- list group item-->
<a href="https://link.springer.com/chapter/10.1007/978-3-319-57048-8_7">
<li class="list-group-item">
<!-- Custom content-->
<div class="media align-items-lg-center flex-column flex-lg-row p-3">
<div class="media-body order-2 order-lg-1">
<h5 class="mt-0 font-weight-bold mb-2">The Complexity of Differential Privacy</h5>
<h6 class="font-weight-bold my-2">Author: Salil Vadhan</h6>
<p class="font-italic text-muted mb-0 small">
Aimed at theoretical computer scientists who want to engage with theoretical research on differential privacy.
</p>
<span class="badge badge-secondary">Technical</span>
</div>
</div>
<!-- End -->
</li>
</a>
<!-- End -->
</ul>
<!-- End -->
</div>
</div>
<hr>
<div class="row text-center text-black mb-5">
<div class="col-lg-7 mx-auto">
<h3 class="display-6">Tutorials</h1>
</p>
</div>
</div>
<div class="row">
<div class="col-lg-8 mx-auto">
<!-- List group-->
<ul class="list-group shadow">
<!-- list group item-->
<a href="https://docs.tmlt.dev/analytics/latest/tutorials/index.html">
<li class="list-group-item">
<!-- Custom content-->
<div class="media align-items-lg-center flex-column flex-lg-row p-3">
<div class="media-body order-2 order-lg-1">
<h5 class="mt-0 font-weight-bold mb-2">Tumult Analytics tutorials</h5>
<h6 class="font-weight-bold my-2">Author: Tumult Labs</h6>
<p class="font-italic text-muted mb-0 small">
A tutorial series from Tumult Analytics, intended to get started generating differentially private data without any prior experience with DP.
</p>
<span class="badge badge-secondary">For Coders</span>
</div>
</div>
<!-- End -->
</li>
</a>
<!-- End -->
<!-- list group item-->
<a href="https://lpanavas.github.io/mechanism-comparison/">
<li class="list-group-item">
<!-- Custom content-->
<div class="media align-items-lg-center flex-column flex-lg-row p-3">
<div class="media-body order-2 order-lg-1">
<h5 class="mt-0 font-weight-bold mb-2">Exploring Differential Privacy: Laplace vs Gaussian</h5>
<h6 class="font-weight-bold my-2">Author: Liudas Panavas</h6>
<p class="font-italic text-muted mb-0 small">
A visualization of the utility tradeoffs between the Laplace and Gaussian mechanisms.
</p>
</div>
</div>
<!-- End -->
</li>
</a>
<!-- End -->
</ul>
<!-- End -->
</div>
</div>
</div>